Pith. sign in

Paper Citation Record · LEDGER

Cellular Traffic Prediction via Byzantine-robust Asynchronous Federated Learning

As of 9 August 2026, this Paper Citation Record lists 75 of 75 outbound references and 0 inbound Pith citation observations for arXiv:2505.19263.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2505.19263 v1

Coverage vector

measured 75 of 75 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:22:50.322024Z

measured 75 of 75 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

75 of 75 outbound references displayed

  • verified exact0
  • verified fuzzy64
  • unresolved9
  • parse uncertain0
  • malformed identifier2
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b7739c2b-e2f5-4a97-962d-f090c86caaa0 · outbound

This paper cites A communication-efficient federated learning scheme for IoT-based traffic forecasting,.

Cellular Traffic Prediction via Byzantine-robust Asynchronous Federated Learning A communication-efficient federated learning scheme for IoT-based traffic forecasting,

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:22:51.635309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:22:47.631323Z digest=sha256:7ef0333e56abacf5fa146dfa8a9eaf8e170e11e70900e97cc87e3a870feea961

Observation d544de63-5b24-4cc5-9959-152d55049c82 · outbound

This paper cites HCP: Heterogeneous computing platform for federated learning based collaborative content caching towards 6G networks,.

Cellular Traffic Prediction via Byzantine-robust Asynchronous Federated Learning HCP: Heterogeneous computing platform for federated learning based collaborative content caching towards 6G networks,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:22:51.619851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:22:47.813586Z digest=sha256:c9f19ac104454fcd14fc3a9fc3101ea95f4b53d28fc6c219fead906ce520ecab

Observation 07a5c663-27be-447c-b975-67d25f15d70d · outbound

This paper cites Unsupervised deep learning for iot time series,.

Cellular Traffic Prediction via Byzantine-robust Asynchronous Federated Learning Unsupervised deep learning for iot time series,

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:22:51.605048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:22:48.031148Z digest=sha256:1ea5fc6aed709ab15c50516b8320ce161944468580c0f99565544bab94a90ea2

Observation 152d4f57-a8e0-4b96-8082-669fed03773e · outbound

This paper cites AI-empowered network root cause analysis for 6G,.

Cellular Traffic Prediction via Byzantine-robust Asynchronous Federated Learning AI-empowered network root cause analysis for 6G,

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:22:51.589883Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:22:48.230608Z digest=sha256:6e9ddb03386d5c3fc83be0bc89b3229044e45828dae51c4757a925e2320fa505

Observation 1cef0638-41d3-419a-b2e8-2f556c17f11e · outbound

This paper cites TimeAutoML: Autonomous representation learning for multivariate irregularly sampled time series,.

Cellular Traffic Prediction via Byzantine-robust Asynchronous Federated Learning TimeAutoML: Autonomous representation learning for multivariate irregularly sampled time series,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:22:51.575352Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:22:48.288143Z digest=sha256:46c062f7131f77a866d8ee8a03d8f334da48d0fe7675793c112b1de95ff0e0fa

Observation 74b9af91-1cea-46bd-8173-59da1eb907d7 · outbound

This paper cites Anomaly detection in event-triggered traffic time series via similarity learning,.

Cellular Traffic Prediction via Byzantine-robust Asynchronous Federated Learning Anomaly detection in event-triggered traffic time series via similarity learning,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:22:51.560099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:22:48.409244Z digest=sha256:1ccd631104e93e01ca58e40ba84b23f8385022d106e8c60428b8a1bf8291cb02

Observation 8bd27489-9f91-448a-9395-537fbf610537 · outbound

This paper cites Active learning for wireless iot intrusion detection,.

Cellular Traffic Prediction via Byzantine-robust Asynchronous Federated Learning Active learning for wireless iot intrusion detection,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:22:51.544804Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:22:48.509087Z digest=sha256:ce7018e27e064ebcd2769b4dcebc083faa7b61de7d1c7bbf0dfc72d0d783ca2a

Observation c62e9b4c-bc4e-48b2-ab84-162054580f18 · outbound

This paper cites Pc2a: Predicting collective contextual anomalies via lstm with deep generative model,.

Cellular Traffic Prediction via Byzantine-robust Asynchronous Federated Learning Pc2a: Predicting collective contextual anomalies via lstm with deep generative model,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:22:51.530253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:22:48.619280Z digest=sha256:a843146be1e9929fbb3b15e2e168c3a2458cc9f0c347d0c2cfd3c25496ced576

Observation 397b3269-6a46-4672-a4e8-98f8d2da4b9b · outbound

This paper cites LNTP: An end-to-end online prediction model for network traffic,.

Cellular Traffic Prediction via Byzantine-robust Asynchronous Federated Learning LNTP: An end-to-end online prediction model for network traffic,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:22:51.516317Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:22:48.769705Z digest=sha256:ce6a34667730a6f793c20a55be7b579d6f9819377b2058c0e04bea40c209f89f

Observation b2995f0c-90ca-47d2-975c-179287ac14d7 · outbound

This paper cites Toward QoS prediction based on temporal transformers for IoT applications,.

Cellular Traffic Prediction via Byzantine-robust Asynchronous Federated Learning Toward QoS prediction based on temporal transformers for IoT applications,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:22:51.501650Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:22:48.887439Z digest=sha256:a6c3f12bd931e06ccdb587b9eb4e56bce5a99ae0779f957d1d6d6958f1fd185a

Observation f9f1e97f-b8b3-4382-a9cd-ed0f6813b1c2 · outbound

This paper cites Cellular traffic prediction via deep state space models with attention mechanism,.

Cellular Traffic Prediction via Byzantine-robust Asynchronous Federated Learning Cellular traffic prediction via deep state space models with attention mechanism,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:22:51.487236Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:22:48.969984Z digest=sha256:65c7f7d4490a822652a425f38ece677956206ea17c5ab81123c4ad454e0a6707

Observation 6185228c-4e97-427c-bf1d-29f06114332f · outbound

This paper cites Optimiza- tion design for federated learning in heterogeneous 6G networks,.

Cellular Traffic Prediction via Byzantine-robust Asynchronous Federated Learning Optimiza- tion design for federated learning in heterogeneous 6G networks,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:22:51.470281Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:22:49.114808Z digest=sha256:83472fd0610ad110a9cc121390ec5d8c03fdcc40c27e6b61d6d2a344acff4f60

Observation 8451a66d-9976-4984-94b2-59e1d628ac78 · outbound

This paper cites Inverting gradients - how easy is it to break privacy in federated learning?.

Cellular Traffic Prediction via Byzantine-robust Asynchronous Federated Learning Inverting gradients - how easy is it to break privacy in federated learning?

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:22:51.455854Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:22:49.284428Z digest=sha256:dc0bdbab7bf6e6aab896e2da5f2639e1effc5fc11124f4741b983ea300e9fc55

Observation 27ba58d4-94c5-4a25-9983-6e0d137ee3c3 · outbound

This paper cites Differential privacy in deep learning: An overview,.

Cellular Traffic Prediction via Byzantine-robust Asynchronous Federated Learning Differential privacy in deep learning: An overview,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:22:51.441206Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:22:49.406057Z digest=sha256:0ee32c62cfcf582c7946c880965960a79d48d7fbd37cb75772c5860a03c95ba5

Observation 8c1a4117-749d-44d4-ae8a-e716fb596f9c · outbound

This paper cites A robust game- theoretical federated learning framework with joint differential privacy,.

Cellular Traffic Prediction via Byzantine-robust Asynchronous Federated Learning A robust game- theoretical federated learning framework with joint differential privacy,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:22:51.424586Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:22:49.525863Z digest=sha256:99b89fab49a9f627016dca55154487862608d3e00fae9fdf3464334434e76119

Observation c68a6a84-92b6-41bd-9f8a-9133b5725d59 · outbound

This paper cites Distributionally robust federated learning for differentially private data,.

Cellular Traffic Prediction via Byzantine-robust Asynchronous Federated Learning Distributionally robust federated learning for differentially private data,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:22:51.408935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:22:49.602706Z digest=sha256:84c5afc29f92dc43d1fda27119ffdee9b4ff5abd8b50b89723682b3551edf036

Observation e8c97193-5997-4be8-a1cf-b3f551ee7c5e · outbound

This paper cites Distributed robust optimization (DRO) part I: Framework and example,.

Cellular Traffic Prediction via Byzantine-robust Asynchronous Federated Learning Distributed robust optimization (DRO) part I: Framework and example,

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:22:51.394026Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:22:49.680574Z digest=sha256:532f95b36404664a9c5a647e37f80aaf6c241b9bc471000ce3de2114df91ff96

Observation b284a7d5-6ada-4d31-bcd6-6de2915aa226 · outbound

This paper cites Distributed robust optimization for communication networks,.

Cellular Traffic Prediction via Byzantine-robust Asynchronous Federated Learning Distributed robust optimization for communication networks,

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:22:51.378521Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:22:49.775923Z digest=sha256:d448094fc3717b634b8c10115f537958ee1ea03d69b764afde857fa0d8726bc1

Observation 6e95c836-2c88-4b05-8fa7-733b474a7857 · outbound

This paper cites Machine learning with adversaries: Byzantine tolerant gradient descent,.

Cellular Traffic Prediction via Byzantine-robust Asynchronous Federated Learning Machine learning with adversaries: Byzantine tolerant gradient descent,

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:22:51.362573Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:22:49.897570Z digest=sha256:2bb4bbbf23abbfb2dd977431099627b3201244162e60e536bb9beaf4390cc0b4

Observation d60921c0-626c-4513-814e-bbfcbcf3a2f5 · outbound

This paper cites Byzantine-robust distributed learning: Towards optimal statistical rates,.

Cellular Traffic Prediction via Byzantine-robust Asynchronous Federated Learning Byzantine-robust distributed learning: Towards optimal statistical rates,

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:22:51.337743Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:22:50.030400Z digest=sha256:9797cd9786efa4451fac3bb09d006202e2402c38aa1bba1c3c6f5ccd3c01ad47

Observation e135a387-b254-4888-96cf-6d99cbc78135 · outbound

This paper cites Certifiably Byzantine-robust federated conformal prediction,.

Cellular Traffic Prediction via Byzantine-robust Asynchronous Federated Learning Certifiably Byzantine-robust federated conformal prediction,

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:22:51.322985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:22:50.042981Z digest=sha256:d0a1aff067465dd7daa5be57f91d24ddc30a39e9487d3fd2751e27bbfbe55080

Observation 72fff356-148c-463a-8f1c-50d6608b1fdc · outbound

This paper cites RSA: byzantine- robust stochastic aggregation methods for distributed learning from heterogeneous datasets,.

Cellular Traffic Prediction via Byzantine-robust Asynchronous Federated Learning RSA: byzantine- robust stochastic aggregation methods for distributed learning from heterogeneous datasets,

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:22:51.308592Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:22:50.064643Z digest=sha256:af1d4185cf016ed892cc2f38bbe95b4576902e4b6ae86af208873d9b01f2e0b9

Observation ef3fd120-5e64-4bfe-b877-51c303db8e47 · outbound

This paper cites Bridging differential privacy and Byzantine- robustness via model aggregation,.

Cellular Traffic Prediction via Byzantine-robust Asynchronous Federated Learning Bridging differential privacy and Byzantine- robustness via model aggregation,

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:22:51.293594Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:22:50.070618Z digest=sha256:4dd895c392f5c58cc65eda892caf67e4eafcd3562af9a24621e9acd4b8e298bd

Observation 74b5a2b1-5abd-412f-a551-eb3a800fb3db · outbound

This paper cites Differentially private byzantine-robust federated learning,.

Cellular Traffic Prediction via Byzantine-robust Asynchronous Federated Learning Differentially private byzantine-robust federated learning,

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:22:51.276750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:22:50.075946Z digest=sha256:16cb74409e6d8b7a4b899f4fb227dd1ddc2afe30acf60edf062e6f9ec0b34f68

Observation 9d96349c-8d30-4a81-b9ac-96eaa84c3f29 · outbound

This paper cites MetaSTNet: Multimodal meta-learning for cellular traffic conformal prediction,.

Cellular Traffic Prediction via Byzantine-robust Asynchronous Federated Learning MetaSTNet: Multimodal meta-learning for cellular traffic conformal prediction,

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:22:51.261407Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:22:50.081535Z digest=sha256:dae76417a2241611676d2d406b39c7560d2865ce3f07eafbc73fac9da9a50190

Observation 8adf6c02-78fa-4445-9e91-8e853d20a38a · outbound

This paper cites TimeMixer: Decomposable multiscale mixing for time series forecasting,.

Cellular Traffic Prediction via Byzantine-robust Asynchronous Federated Learning TimeMixer: Decomposable multiscale mixing for time series forecasting,

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:22:51.245915Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:22:50.085993Z digest=sha256:db86fe9c4b014c3ad6d34a2f150bbd1f6467425d9ca3f957c1cc47bf62cc0b08

Observation 4cb996d8-f922-48ed-bcb0-519e234c81e8 · outbound

This paper cites FedGRU: Privacy- preserving traffic flow prediction via federated learning,.

Cellular Traffic Prediction via Byzantine-robust Asynchronous Federated Learning FedGRU: Privacy- preserving traffic flow prediction via federated learning,

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:22:51.230786Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:22:50.091766Z digest=sha256:4cfb60ece9f7ea5a3d23acd4946357e5081f0981ad2bdd3c9a2c4fb9cef86764

Observation a99960d9-f893-4d0e-8a09-c65518d67cc3 · outbound

This paper cites Privacy-preserving traffic flow prediction: A federated learning approach,.

Cellular Traffic Prediction via Byzantine-robust Asynchronous Federated Learning Privacy-preserving traffic flow prediction: A federated learning approach,

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:22:51.214525Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:22:50.096548Z digest=sha256:1ced323d76263bdeed3098bcaeff7f7be252ec3f7d5443b1ce995bdf1e426a63

Observation c36baa79-5a59-4db3-91a3-3b9b99f07318 · outbound

This paper cites Fed-NTP: A federated learning algo- rithm for network traffic prediction in V ANET,.

Cellular Traffic Prediction via Byzantine-robust Asynchronous Federated Learning Fed-NTP: A federated learning algo- rithm for network traffic prediction in V ANET,

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:22:51.196902Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:22:50.101581Z digest=sha256:adc9630115df4fc9862bd8239b07993dfb4a144673f3c87d36ef370a87ae9958

Observation 1ffcb9cf-100f-4fe3-934b-e7f51c05d31c · outbound

This paper cites Centralized and federated learning for predictive VNF autoscaling in multi-domain 5G networks and beyond,.

Cellular Traffic Prediction via Byzantine-robust Asynchronous Federated Learning Centralized and federated learning for predictive VNF autoscaling in multi-domain 5G networks and beyond,

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:22:51.179481Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:22:50.106105Z digest=sha256:fac8944c6d3be7c549af2b3178c42cf8f56d79ca402c9573b3a05c9436e5d8df

Observation e36985a4-7e30-4f2e-9a4c-480d3375b2c1 · outbound

This paper cites FASTGNN: A topological information protected federated learning approach for traffic speed forecasting,.

Cellular Traffic Prediction via Byzantine-robust Asynchronous Federated Learning FASTGNN: A topological information protected federated learning approach for traffic speed forecasting,

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:22:51.162846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:22:50.111114Z digest=sha256:10deb410cb5190257b6425846613120f5fcc8c81d6e6b098d60ce191a2e61513

Observation 4a95e419-cd99-48b5-8588-5590f2d73b42 · outbound

This paper cites Short-term traffic flow prediction based on graph convolutional networks and federated learning,.

Cellular Traffic Prediction via Byzantine-robust Asynchronous Federated Learning Short-term traffic flow prediction based on graph convolutional networks and federated learning,

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:22:51.146584Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:22:50.115392Z digest=sha256:acb011ef3c27b9a309482d8e4e8919b76297deb8db6b343dd6261a736f057ac1

Observation 0ad7fc4b-c922-4597-a404-6f8d37e07795 · outbound

This paper cites Privacy-preserving cross-area traffic forecasting in ITS: A transferable spatial-temporal graph neural network approach,.

Cellular Traffic Prediction via Byzantine-robust Asynchronous Federated Learning Privacy-preserving cross-area traffic forecasting in ITS: A transferable spatial-temporal graph neural network approach,

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:22:51.129612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:22:50.120883Z digest=sha256:ffddff1464804604e2398eed3619915379e050a0474a0721c359a4c7d6df446d

Observation cb4e3ed9-663d-4629-adc3-495736d87d06 · outbound

This paper cites Federated optimization in heterogeneous networks,.

Cellular Traffic Prediction via Byzantine-robust Asynchronous Federated Learning Federated optimization in heterogeneous networks,

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-07T14:22:50.126206Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:22:50.126206Z digest=sha256:45fe82436d1f5cff1128bacace6eb3e2af4a7a219f966be5ec9b5af514725275

Observation be3f32a4-55d7-46f8-9f28-f693a9d06bff · outbound

This paper cites Learning private neural language modeling with attentive aggregation,.

Cellular Traffic Prediction via Byzantine-robust Asynchronous Federated Learning Learning private neural language modeling with attentive aggregation,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:22:51.103483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:22:50.131872Z digest=sha256:fe0a159d7c1bb8308ff004712f04e2f2cb7c91759ae53890b0dc0fc7486eb2ba

Observation 7c8c15d7-268b-465e-8de7-612e5f9e4ecd · outbound

This paper cites Dual attention- based federated learning for wireless traffic prediction,.

Cellular Traffic Prediction via Byzantine-robust Asynchronous Federated Learning Dual attention- based federated learning for wireless traffic prediction,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:22:51.088801Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:22:50.136645Z digest=sha256:7055741e1223a0b5a92e0a86f5b0202aff552c344f983c449f81b4f76b1a19ae

Observation 272d5a83-7d71-4e5f-8f52-5dcd9edc8ed1 · outbound

This paper cites Differential privacy for deep and federated learning: A survey,.

Cellular Traffic Prediction via Byzantine-robust Asynchronous Federated Learning Differential privacy for deep and federated learning: A survey,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:22:51.073813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:22:50.141829Z digest=sha256:98e4f2a105d716d38e400948bea69685c00d3bfe37ded1345f8c68009bbfd06b

Observation ec16a918-2572-4177-ac49-3389ce0d5d29 · outbound

This paper cites Privacy in Deep Learning: A Survey.

Cellular Traffic Prediction via Byzantine-robust Asynchronous Federated Learning Privacy in Deep Learning: A Survey

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-07T14:22:50.146066Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:22:50.146066Z digest=sha256:0a548fbefa74411b14d6012d1d43fbe899c362ff7258728900786b2d2dfc6ec8

Observation 6d06e7fa-b958-4e7c-b8fb-e3c0b3588ed8 · outbound

This paper cites Privacy- preserving approach PBCN in social network with differential privacy,.

Cellular Traffic Prediction via Byzantine-robust Asynchronous Federated Learning Privacy- preserving approach PBCN in social network with differential privacy,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:22:51.057891Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:22:50.150237Z digest=sha256:4fa58df118244cda6bde42921c3bd45cbdc15cbfa2e317ded5ccad89e32353f5

Observation 86db1ef7-d72c-485a-9af1-6d8eee3cdd9f · outbound

This paper cites FedLAP-DP: Federated Learning by Sharing Differentially Private Loss Approximations.

Cellular Traffic Prediction via Byzantine-robust Asynchronous Federated Learning FedLAP-DP: Federated Learning by Sharing Differentially Private Loss Approximations

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-07T14:22:50.154466Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:22:50.154466Z digest=sha256:d258a1193d9f9947fa4f09be89f1f138194bca9b63f1810fbd9da28a4b868e7e

Observation af45b8d1-08ce-4021-9d91-dcd91b6f4a98 · outbound

This paper cites Performance-enhanced federated learning with differential privacy for Internet of things,.

Cellular Traffic Prediction via Byzantine-robust Asynchronous Federated Learning Performance-enhanced federated learning with differential privacy for Internet of things,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:22:51.043171Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:22:50.159194Z digest=sha256:c2cee2f137489a551e91f280e042e4cba90dce93ca4df35180968b7487844963

Observation fbf7410c-f4f1-4d5a-9a0b-33bd1ee44672 · outbound

This paper cites Federated learning with differential privacy: Algorithms and performance analysis,.

Cellular Traffic Prediction via Byzantine-robust Asynchronous Federated Learning Federated learning with differential privacy: Algorithms and performance analysis,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:22:51.027962Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:22:50.163868Z digest=sha256:2adfc6e43a9b242b339964d22df52c67e742e5a143d27b083c76b12a755637a5

Observation fb3a9450-8624-47ab-ae82-9718b76e2669 · outbound

This paper cites Personalized federated learning with differential privacy,.

Cellular Traffic Prediction via Byzantine-robust Asynchronous Federated Learning Personalized federated learning with differential privacy,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:22:51.011915Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:22:50.168823Z digest=sha256:0bec7ad613cd33751f8f18adafdf24a420ea2ac83849b009a351a150747069eb

Observation 510c0384-57ee-4451-b3a0-e67e59d872ba · outbound

This paper cites Towards efficient and privacy-preserving federated deep learning,.

Cellular Traffic Prediction via Byzantine-robust Asynchronous Federated Learning Towards efficient and privacy-preserving federated deep learning,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:22:50.996256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:22:50.173592Z digest=sha256:69ed31fa2e701619a3c5c7dec5aa6d4bcad7cea6436b538470fa6773e165d38d

Observation 73517ffe-09cf-4edd-9937-dea89c9774b5 · outbound

This paper cites On differential privacy for federated learning in wireless systems with multiple base stations,.

Cellular Traffic Prediction via Byzantine-robust Asynchronous Federated Learning On differential privacy for federated learning in wireless systems with multiple base stations,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:22:50.981276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:22:50.178642Z digest=sha256:f4c0873cb3200c1ef58038b7fc5da57181458843eaa0b43d4fc2df998cc714af

Observation 07911358-9adb-494a-8847-8995aefa299e · outbound

This paper cites GRNN: Generative regression neural network—a data leakage attack for federated learning,.

Cellular Traffic Prediction via Byzantine-robust Asynchronous Federated Learning GRNN: Generative regression neural network—a data leakage attack for federated learning,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:22:50.966496Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:22:50.183978Z digest=sha256:701d02b75b9c1f7595aaac4cf4eccfd3a9dc636d0beafa4c12c82e09b7db2fd2

Observation 3881c8c1-5c1f-47f8-a97a-2f178e338766 · outbound

This paper cites Byzantine machine learning: A primer,.

Cellular Traffic Prediction via Byzantine-robust Asynchronous Federated Learning Byzantine machine learning: A primer,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:22:50.951941Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:22:50.188947Z digest=sha256:f88ed927f460a34af38d5c77a0499f0434eab9d3b973c8de24e5365d345ef9fe

Observation e8694dd1-5ac1-4c03-a185-b84b1617b85b · outbound

This paper cites Byzantine fault tolerance in distributed machine learning : a survey,.

Cellular Traffic Prediction via Byzantine-robust Asynchronous Federated Learning Byzantine fault tolerance in distributed machine learning : a survey,

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:22:50.936175Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:22:50.193851Z digest=sha256:03db317a79c6f95d117cb58e7680c1388b4a71f92d8d9a42604adb0e9ea6f8ce

Observation 08c6b61c-c82b-40fb-bb6c-a376c2e1dfba · outbound

This paper cites An experimental study of Byzantine-robust aggregation schemes in federated learning,.

Cellular Traffic Prediction via Byzantine-robust Asynchronous Federated Learning An experimental study of Byzantine-robust aggregation schemes in federated learning,

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-07T14:22:50.198828Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:22:50.198828Z digest=sha256:a4703ccf199d9b51000e36a8fe81c9b988ca0095ac85fc4e60f652053fc49fde

Observation 8a8f3417-33f1-44fa-b776-5ea39a14b8c9 · outbound

This paper cites DRACO: byzantine-resilient distributed training via redundant gradients,.

Cellular Traffic Prediction via Byzantine-robust Asynchronous Federated Learning DRACO: byzantine-resilient distributed training via redundant gradients,

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:22:50.919719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:22:50.204030Z digest=sha256:e3680b58ceaa70c3906f5b74c7220c3b7f842ac90b01a094f38bc49708a8d53d

Observation 4bd16110-e009-4753-8657-8f2ee6c6975c · outbound

This paper cites DETOX: A redundancy-based framework for faster and more robust gradient aggregation,.

Cellular Traffic Prediction via Byzantine-robust Asynchronous Federated Learning DETOX: A redundancy-based framework for faster and more robust gradient aggregation,

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:22:50.905289Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:22:50.209680Z digest=sha256:9016f2dcf30fef0fe191d4f93a8ae083b3b642c0eb2f2123e7d32e7bdde70d67

Observation 4f44420e-94c8-4fea-93c7-3e1d7ac7ec60 · outbound

This paper cites FLTrust: Byzantine-robust federated learning via trust bootstrapping,.

Cellular Traffic Prediction via Byzantine-robust Asynchronous Federated Learning FLTrust: Byzantine-robust federated learning via trust bootstrapping,

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:22:50.889892Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:22:50.214449Z digest=sha256:77aee4e39e372f46afab26f239754684217c6e1a339d51d50736ba9a856eabec

Observation 39d84078-cacc-4b3f-9643-79d8bb16c5c4 · outbound

This paper cites Distributed statistical machine learning in adversarial settings: Byzantine gradient descent,.

Cellular Traffic Prediction via Byzantine-robust Asynchronous Federated Learning Distributed statistical machine learning in adversarial settings: Byzantine gradient descent,

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:22:50.875373Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:22:50.219607Z digest=sha256:28cb811e3b03556d94655f84938c1a2c96f24ec0981d5bfef8e7ed9ac0d4e85b

Observation 88145af5-7e61-4039-bb84-2cf7cff3bb85 · outbound

This paper cites Byzantine-robust aggregation in federated learning empowered industrial IoT,.

Cellular Traffic Prediction via Byzantine-robust Asynchronous Federated Learning Byzantine-robust aggregation in federated learning empowered industrial IoT,

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:22:50.860451Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:22:50.224638Z digest=sha256:7f4c864bfdde9ced8f244fc18691441d58cc79f2ed837fe0b660637ddea84043

Observation 70d55bb2-3e3a-4c6b-bfda-2208319a59df · outbound

This paper cites Learning from history for Byzantine robust optimization,.

Cellular Traffic Prediction via Byzantine-robust Asynchronous Federated Learning Learning from history for Byzantine robust optimization,

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:22:50.845070Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:22:50.229846Z digest=sha256:1d9014a112922db233b7be350866a1e26a438095b8ad99ff223e815662b88230

Observation 041f6923-9de1-49db-aac1-db6c99a6f1da · outbound

This paper cites Distributed distributionally robust optimization with non-convex objectives,.

Cellular Traffic Prediction via Byzantine-robust Asynchronous Federated Learning Distributed distributionally robust optimization with non-convex objectives,

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:22:50.830640Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:22:50.234403Z digest=sha256:281a5d2f15c831e05fdde14b709b3e1859022f641228f32774b2bafe28d1c3bf

Observation ccc06cb3-b767-4221-bfb0-141fc500e778 · outbound

This paper cites Gradient-based Bi-level Optimization for Deep Learning: A Survey.

Cellular Traffic Prediction via Byzantine-robust Asynchronous Federated Learning Gradient-based Bi-level Optimization for Deep Learning: A Survey

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-07T14:22:50.238544Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:22:50.238544Z digest=sha256:14ee6a8ab0132aafe9bd940dcc6570cbce8baa9cfed3526d3b40cc481aac986e

Observation 12da4457-5050-47c0-a995-ae828936f2e1 · outbound

This paper cites Fair resource allocation in federated learning,.

Cellular Traffic Prediction via Byzantine-robust Asynchronous Federated Learning Fair resource allocation in federated learning,

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:22:50.815366Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:22:50.243404Z digest=sha256:dec9431a922b6d9ff85e79f2f5111ffa0e8e21b63bbf9752623977096df1c000

Observation 0e2a2919-b3e7-4acd-a1f1-0e331612281d · outbound

This paper cites Asynchronous distributed bilevel optimization,.

Cellular Traffic Prediction via Byzantine-robust Asynchronous Federated Learning Asynchronous distributed bilevel optimization,

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:22:50.799162Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:22:50.248882Z digest=sha256:7431312b085fb846559469ba84a6ceb1c2afcd9dec66cab9ae392fe5372e1d5d

Observation f088d6b8-b358-43e5-b11f-8b7eab7868be · outbound

This paper cites Agnostic federated learning,.

Cellular Traffic Prediction via Byzantine-robust Asynchronous Federated Learning Agnostic federated learning,

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:22:50.784172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:22:50.253408Z digest=sha256:53242f7279980dcf605baaa6c247d6487a853e3f1dae88c8bbcdcbcadb0f7786

Observation 74fbef67-88bc-4c01-ab80-e7b7468d1ba1 · outbound

This paper cites Distributionally robust federated averaging,.

Cellular Traffic Prediction via Byzantine-robust Asynchronous Federated Learning Distributionally robust federated averaging,

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:22:50.768667Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:22:50.258329Z digest=sha256:f43c20d1308af38a475ddc1c7bdfed2ec67a33af056da39ead4825a9b0cc7cc1

Observation 714c2c79-7023-41b4-b180-0a6bbe35959c · outbound

This paper cites Data-driven distributionally robust op- timization using the Wasserstein metric: Performance guarantees and tractable reformulations,.

Cellular Traffic Prediction via Byzantine-robust Asynchronous Federated Learning Data-driven distributionally robust op- timization using the Wasserstein metric: Performance guarantees and tractable reformulations,

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:22:50.751453Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:22:50.262606Z digest=sha256:799b76c43bbb374d1ba123082d81cd5542247949c021306a6f43af24688ad86b

Observation 7b937606-a4d0-42f5-bc5c-ce5377b490a5 · outbound

This paper cites On the rate of convergence in Wasserstein distance of the empirical measure,.

Cellular Traffic Prediction via Byzantine-robust Asynchronous Federated Learning On the rate of convergence in Wasserstein distance of the empirical measure,

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:22:50.734298Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:22:50.267702Z digest=sha256:c58131863bbe39784ddb9d53c067db8605bd8e9352ae3f030d122a63f7e04a27

Observation f719ec10-59b9-4316-bfa5-fba8e68c2fec · outbound

This paper cites Distributionally-robust machine learning using locally differentially-private data,.

Cellular Traffic Prediction via Byzantine-robust Asynchronous Federated Learning Distributionally-robust machine learning using locally differentially-private data,

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:22:50.716764Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:22:50.272702Z digest=sha256:b3b0192f4dc6181cce810a247696e74f6aa2955b333659e71d8edfc2bdc9d081

Observation 5d1ee27d-e996-43ce-958d-d6e925151ecd · outbound

This paper cites Bilevel optimization: Convergence analysis and enhanced design,.

Cellular Traffic Prediction via Byzantine-robust Asynchronous Federated Learning Bilevel optimization: Convergence analysis and enhanced design,

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:22:50.702250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:22:50.277645Z digest=sha256:6e5491bdf870814ba436e76944fc6d1242e9b6aa93bdfb41a1bae234b4293797

Observation c834a373-dd32-4014-92b1-cffdf6311dd0 · outbound

This paper cites Convergence of meta-learning with task-specific adaptation over partial parameters,.

Cellular Traffic Prediction via Byzantine-robust Asynchronous Federated Learning Convergence of meta-learning with task-specific adaptation over partial parameters,

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:22:50.687662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:22:50.282285Z digest=sha256:85a5ff8511c48f6dd5364f3e15d0e797446bc48488fca38e535fe5cf3edd0128

Observation 772c2e1e-bec7-42f8-9f2d-76eba2287518 · outbound

This paper cites The suplementary content,.

Cellular Traffic Prediction via Byzantine-robust Asynchronous Federated Learning The suplementary content,

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:22:50.672825Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:22:50.287547Z digest=sha256:6593c6e07e91d9f0f29832ee68028ae99f22bf9877c54fbe57d75413e9a24b69

Observation bd423b32-9c51-4ef0-96f0-ab1d24e4416b · outbound

This paper cites Telecommunications - SMS, Call, Internet - MI,.

Cellular Traffic Prediction via Byzantine-robust Asynchronous Federated Learning Telecommunications - SMS, Call, Internet - MI,

Reference 68

Resolution
malformed identifier
no resolver link, observed 2026-08-07T14:22:50.292591Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:22:50.292591Z digest=sha256:1a6cd621de9af237eeaf1a0b4d94cdbff400f2f69f53c9384568da7cc2543c93

Observation 71142aa4-98a8-4929-86bc-9da16880f6a7 · outbound

This paper cites Social Pulse - Milano,.

Cellular Traffic Prediction via Byzantine-robust Asynchronous Federated Learning Social Pulse - Milano,

Reference 69

Resolution
unresolved
no resolver link, observed 2026-08-07T14:22:50.297672Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:22:50.297672Z digest=sha256:af3e98201244c21e1ecda351b7ec448b61351621d6473c288cf420e05c87eb1b

Observation ef54c9f6-79ca-4cbf-bac4-3c5579502d46 · outbound

This paper cites MilanoToday,.

Cellular Traffic Prediction via Byzantine-robust Asynchronous Federated Learning MilanoToday,

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:22:50.656696Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:22:50.302541Z digest=sha256:949ac76ec6211bb7862f25cc2c92d4798e57646f612d645ff7f62cdaa4b125b7

Observation 9cc65245-c8b1-4dce-8753-82006379a28b · outbound

This paper cites Telecommunications - SMS, Call, Internet - TN,.

Cellular Traffic Prediction via Byzantine-robust Asynchronous Federated Learning Telecommunications - SMS, Call, Internet - TN,

Reference 71

Resolution
malformed identifier
no resolver link, observed 2026-08-07T14:22:50.307635Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:22:50.307635Z digest=sha256:c6a8a5781c08c343d43b5fbe5bf5fbd56276c4a454340e61c255ab3cf8544a93

Observation fbbbeee8-2a40-4e62-be4e-73e1fe33d01a · outbound

This paper cites Social Pulse - Trentino,.

Cellular Traffic Prediction via Byzantine-robust Asynchronous Federated Learning Social Pulse - Trentino,

Reference 72

Resolution
unresolved
no resolver link, observed 2026-08-07T14:22:50.312715Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:22:50.312715Z digest=sha256:b00fc42295bace1d09c2d583f27693cbce179c1d4b883ab76c5396aac3daf140

Observation c793023c-3688-4b07-8dca-f4287073560e · outbound

This paper cites TrentoToday,.

Cellular Traffic Prediction via Byzantine-robust Asynchronous Federated Learning TrentoToday,

Reference 73

Resolution
unresolved
no resolver link, observed 2026-08-07T14:22:50.317726Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:22:50.317726Z digest=sha256:fcb3b4ca6a4d7b2bd25b518f9b64f8fabdbf76611f56bc86b4a280aa0696d340

Observation cc367ffb-b5e5-4308-92c5-0575f8f91ce1 · outbound

This paper cites User- level privacy-preserving federated learning: Analysis and performance optimization,.

Cellular Traffic Prediction via Byzantine-robust Asynchronous Federated Learning User- level privacy-preserving federated learning: Analysis and performance optimization,

Reference 74

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:22:50.630954Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:22:50.322024Z digest=sha256:cbc79aee6897cc5c1621be62f2816e9618533b8f06bc46db0650497b8ec18f29

Observation 6b2fe8ff-e489-47be-9634-e5d39c233671 · outbound

This paper cites Available: https://proceedings.neurips.cc/paper/2017/ hash/f4b9ec30ad9f68f89b29639786cb62ef-Abstract.html.

Cellular Traffic Prediction via Byzantine-robust Asynchronous Federated Learning Available: https://proceedings.neurips.cc/paper/2017/ hash/f4b9ec30ad9f68f89b29639786cb62ef-Abstract.html

Reference 129

Resolution
unresolved
no resolver link, observed 2026-08-07T14:22:49.944467Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:22:49.944467Z digest=sha256:caa7e9ad086f89b86f508483a14eaa57fcaa575355e1152bdc765a11a01a71aa

Pith citing papers

No inbound Pith citation observations are available.