Pith. sign in

Paper Citation Record · LEDGER

Cellular Traffic Prediction via Byzantine-robust Asynchronous Federated Learning

As of 10 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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T14:22:47.631323Z digest=sha256:de9268db5b20a0079862de7b234978cf9f6acdfc8d937b24c868f255d88a6bf7

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T14:22:47.813586Z digest=sha256:001a8bef1defeac41efd6b0b5f040a4476897d4608953a320225854345160008

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T14:22:48.031148Z digest=sha256:d8e398c5be64acfb1d256918934206b46419435cef9ec9bb54d7d6aec0cdb4c4

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T14:22:48.230608Z digest=sha256:ad0c61bf1f0c06628c1a08290407a0e4ffeaa9a2c290412c63d670e295aa25cb

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T14:22:48.288143Z digest=sha256:bae4ecc4d6cb67500948476c5624a999d362ea6b18499e602e8718ccebc094d6

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T14:22:48.409244Z digest=sha256:988d05e3d1443ab876a89d5cf09831adc807efe6b762e40c27c6e942fce7cf17

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T14:22:48.509087Z digest=sha256:b11c990a088927b2966c381f3cf34cc4600b27949dd2b39247f687b9c8e7a0d7

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T14:22:48.619280Z digest=sha256:94d0d9033da5aa16659705b6e9660a5c5c0e07e1aaf7115c24fe15a044b26982

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T14:22:48.769705Z digest=sha256:d22a8d1f3b2c927c97d4452f265e017b1d5d66428a67221d5d398fa63bc1a5c4

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T14:22:48.887439Z digest=sha256:45be13d2dacd04a13c16d2517c2c8516a44650ee60cc06312e6aeed20da46b7c

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T14:22:48.969984Z digest=sha256:8c30dd101f8275b3e9a11fd2aa59759efb912b169db7958454d0041ad0256645

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T14:22:49.114808Z digest=sha256:8cf21f076e1172caa0d54f017232877bd3083b7bcf4f831c30311451f36f4e90

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T14:22:49.284428Z digest=sha256:2034f19a889ce0c9a00296c52346a6cb110c689b7b62ecf4a4b12a22a57ae947

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T14:22:49.406057Z digest=sha256:e93be10e1aced8992197d02c6cd1f174327802dbd4f6a2cd2449d4b78065c06b

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T14:22:49.525863Z digest=sha256:b47f8307b666a63f529f5a893f474d49af028eb62154f383526c7786185e81e0

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T14:22:49.602706Z digest=sha256:a213dde3c9f23a66f2032d7f7a2cffc165df4cbce404f1a6e809eda2e07c6a54

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T14:22:49.680574Z digest=sha256:c18c4f9768b3be2bd778e75417f50e57feffd1a3e4b73d400f6881d059e32c36

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T14:22:49.775923Z digest=sha256:8ada69c79e33f7251aa6def99a059e88c0557cdc8ca40034b62711ee7f730910

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T14:22:49.897570Z digest=sha256:ab1b0ab19faeb59de28590476fd493b6b18bf12e0d4df8f109738671e62f5103

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T14:22:50.030400Z digest=sha256:d3504ad87a805dbd9c3cec63a8ecdf1512bcb7b2dd6cc79c5d654b9ef6e0fb67

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T14:22:50.042981Z digest=sha256:0f818e3f78960a986fa3029494225d4d12a8c835cb54a7b167b6d536f4e63dd8

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T14:22:50.064643Z digest=sha256:df3a2f0b438c33559aef80a49a41447199f6df1d66d4c5da2ee23c4ca96bf870

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T14:22:50.070618Z digest=sha256:ec6ca80b4e15819119316038f1ed346526fa4ef87e6bbdaf4a4628a56265cbb4

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T14:22:50.075946Z digest=sha256:af86a5e77839821d5bf4dde2a7c483a6d6cd29046cb7110685d83a9613f2365b

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T14:22:50.081535Z digest=sha256:04c0e41558df259314d1f57ae142a0ad8a5240db7d218de0e37862f69a172e2c

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T14:22:50.085993Z digest=sha256:72f9c3d2b503db76f7a0a3113de07f3f5b6265ddfd892a5c4ece09ba35f47351

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T14:22:50.091766Z digest=sha256:48b0ef080072a5fa27db4f3be91d7ca3a2a905e4ab5a4dd320c86a1f55d0cc7c

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T14:22:50.096548Z digest=sha256:e9762189c83ffacf7b5f537cfa17bc16a65ff988cd149127c99c9619524b5faa

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T14:22:50.101581Z digest=sha256:f31bfcf58be0762bc08f399cc6ac693c34a9a988d616f5283b1b13b857497b85

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T14:22:50.106105Z digest=sha256:a154a46c5e2c7f9935d5b2054dd66e012e49a904f9aaeb62075b3240a70df655

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T14:22:50.111114Z digest=sha256:709c495ce03d1a1aff56f2449c83a263096054ec880599c43921a403043af7cd

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T14:22:50.115392Z digest=sha256:6bd8751aee7372458f18193cad31edd9ae5e4b1774b75d6a6a20cb4ca4d19aaa

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T14:22:50.120883Z digest=sha256:a367db556839cb4eec2f2e99ceb0403afa90c7df5225c1278ab83feefa9ea5eb

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T14:22:50.131872Z digest=sha256:0815a5b696df366b3b3bd063a0a018cab9214a508f05cb8ad1492e5b50ef9ece

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T14:22:50.136645Z digest=sha256:3624ecc479a72c5526848c421f601e3675e1f0fb1f789ffd84bc01730e867ee2

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T14:22:50.141829Z digest=sha256:b0ad878632849a924b0edc40ca2d9f1366163ff9db9ebb16f5fc50823c519013

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T14:22:50.150237Z digest=sha256:824e85fab6c09da0cf645b7d496482d466f9408b985ea6a46e72de45da55b2bc

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T14:22:50.159194Z digest=sha256:57601ccc0bb8a165ea9f2db2269633a4ae8b3f0a1c92301ec8920cd0c90b20ed

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T14:22:50.163868Z digest=sha256:75c55a9a58e59e76f0781a2f4b81eed23c87eee31e7a6f3f2c1c1272cbdcf5e7

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T14:22:50.168823Z digest=sha256:35498868c140046668451ff583d338bf21f327b3bcfde0d423248846137729da

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T14:22:50.173592Z digest=sha256:01ac4f0c64f34a44ba9f37a8e04289603475e9545b14fb88f8c8d5770f317e1b

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T14:22:50.178642Z digest=sha256:a9bd41cddadc09d7cfecc6956f3806e64b5c74145aa11ce66471894b9710aead

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T14:22:50.183978Z digest=sha256:54ec3b950af48b3c5ccb5e03d1b441f168b2e188ab65c04ecb539caef6354a5f

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T14:22:50.188947Z digest=sha256:bfe5115c473c1020628584a3744c7ef9ec31f6943106e62e10f238048b07459e

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T14:22:50.193851Z digest=sha256:ef87822e2261f73e4918fe3bfed80e6e85aa6e6207f3dc0a410c218f1bd678d5

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T14:22:50.204030Z digest=sha256:4c82fadd6ab12b362e87c73eb4ff1fcb6ec8fc17c9a1cc2155d322856daa9b01

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T14:22:50.209680Z digest=sha256:95a596d5d2c4c98cd60c81326ae587e8ccd8b39433bb98d5fed496156b818c9b

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T14:22:50.214449Z digest=sha256:41b50125d2e7493f507ccc70c64ce49ea8c80132a8a85287d5c7750594f258ea

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T14:22:50.219607Z digest=sha256:2547491f0a8fc759a8b977128cb46a0d4096005a37eb5fef76837c767cb72674

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T14:22:50.224638Z digest=sha256:4c9e5ce15944794eb5a3536ed027b87416340090a80290984c6ef6baded8f280

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T14:22:50.229846Z digest=sha256:7dc7eb718a09359bdc79e095b0779e4359b46b8b38a5933e9ba27fa7786a8a82

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T14:22:50.234403Z digest=sha256:77ae07b10f255ee84114d537392909d023e1d517102f95f2919f2a63eb7012a5

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T14:22:50.243404Z digest=sha256:af5a53e00b05bb607d08ad5e2c4508f9f6475da5e2f81c3104fa08f3fb14a1f6

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T14:22:50.248882Z digest=sha256:201c058a2ba1deeb6c787a1b2764c6242c39a27c04a0656343dc10e819937bb0

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T14:22:50.253408Z digest=sha256:429d940ad33b02b21930df4cded792857a2b5df4cbd4d83dbe952667fe2e9105

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T14:22:50.258329Z digest=sha256:dc1e27073c10fe9213b993207056eb9fb9e94e123a6d99695a0bb7490ba5cb1f

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T14:22:50.262606Z digest=sha256:6f2e468b2ada8df0d0856ba53312f071b3536f098ebe5e7df5255056cc0e067b

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T14:22:50.267702Z digest=sha256:1efe0a1c132cae6f6f289616d1c9d3d91419fd732c077104054a3c4d88432eb5

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T14:22:50.272702Z digest=sha256:516c474717f5e8ecf12bf942356f61f81c83c8d1264af5d737803bee34011213

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T14:22:50.277645Z digest=sha256:04c96345dcf077e9c5a15a83c3e9006e27b2f5b538416324f5c0d0e67ea99851

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T14:22:50.282285Z digest=sha256:e812c8bd39b437e3e149eb27532f9a38b83f586fdb8e5e9af8c802960f4d360c

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T14:22:50.287547Z digest=sha256:61b67014e2d3b4bc8f25e58b64bfcb69258d7cea5f80f80ce934ddc5cc03ecbc

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T14:22:50.302541Z digest=sha256:79d1622f1a15fe671b0b21e25cd6ac0a66bbf6d10973be2d4ad0fec0e914e7fc

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T14:22:50.322024Z digest=sha256:8279b423c38f29725703fd9c5490b05be0570aef762688fc92e722526bdb8f1e

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.