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Paper Citation Record · LEDGER

Efficient Federated Learning with Timely Update Dissemination

As of 15 August 2026, this Paper Citation Record lists 84 of 84 outbound references and 0 inbound Pith citation observations for arXiv:2507.06031.

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

pith.paper-citation-record.v1
2507.06031 v1

Coverage vector

measured 84 of 84 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:20:32.028344Z

measured 84 of 84 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+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

84 of 84 outbound references displayed

  • verified exact2
  • verified fuzzy69
  • unresolved13
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a8f2da17-80a1-4be1-88e4-d7ef3af11ed4 · outbound

This paper cites European Union’s General Data Protection Regulation (GDPR),.

Efficient Federated Learning with Timely Update Dissemination European Union’s General Data Protection Regulation (GDPR),

Reference 1

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Observation 42af468c-bf4d-4fdd-9206-3f3b508a083e · outbound

This paper cites Privacy and big data,.

Efficient Federated Learning with Timely Update Dissemination Privacy and big data,

Reference 2

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Observation 91474850-d20b-4f04-8104-06ba85786b42 · outbound

This paper cites Cybersecurity law of the people’s republic of china,.

Efficient Federated Learning with Timely Update Dissemination Cybersecurity law of the people’s republic of china,

Reference 3

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Observation 9f98a70c-d50e-48dd-96c8-d2d698da5f76 · outbound

This paper cites Advances and open problems in federated learn- ing,.

Efficient Federated Learning with Timely Update Dissemination Advances and open problems in federated learn- ing,

Reference 4

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Observation 9981e7bc-b47b-4c81-a2c0-ab537a2de1cf · outbound

This paper cites From distributed machine learning to federated learning: a survey,.

Efficient Federated Learning with Timely Update Dissemination From distributed machine learning to federated learning: a survey,

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 4a321926-8c06-4d98-a2d8-eef6a430f93b · outbound

This paper cites Fedvision: An online visual object detection platform powered by federated learning,.

Efficient Federated Learning with Timely Update Dissemination Fedvision: An online visual object detection platform powered by federated learning,

Reference 6

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 65367e42-7881-4543-a76b-033889952a9b · outbound

This paper cites Federated Learning Meets Natural Language Processing: A Survey.

Efficient Federated Learning with Timely Update Dissemination Federated Learning Meets Natural Language Processing: A Survey

Reference 7

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Observation 6aad78f2-60c5-4bd3-82e6-47600f2bfc48 · outbound

This paper cites Fl-qsar: a federated learning-based qsar prototype for collaborative drug discovery,.

Efficient Federated Learning with Timely Update Dissemination Fl-qsar: a federated learning-based qsar prototype for collaborative drug discovery,

Reference 8

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 3270ae01-f519-49d5-938d-b8709408fd28 · outbound

This paper cites Fed-biomed: A general open-source frontend framework for federated learning in healthcare,.

Efficient Federated Learning with Timely Update Dissemination Fed-biomed: A general open-source frontend framework for federated learning in healthcare,

Reference 9

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation e8079686-c505-4903-b290-c9ffd8f50aa5 · outbound

This paper cites Federated learning for smart healthcare: A survey,.

Efficient Federated Learning with Timely Update Dissemination Federated learning for smart healthcare: A survey,

Reference 10

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation ccaffc1f-7ab5-4997-aed3-8ee36106350b · outbound

This paper cites Communication- efficient learning of deep networks from decentralized data,.

Efficient Federated Learning with Timely Update Dissemination Communication- efficient learning of deep networks from decentralized data,

Reference 11

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 0284abfe-77fb-4936-be39-e361e78f2672 · outbound

This paper cites Distributed and deep vertical federated learning with big data,.

Efficient Federated Learning with Timely Update Dissemination Distributed and deep vertical federated learning with big data,

Reference 12

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 7a10fcad-6b13-4252-9674-fae278a7b867 · outbound

This paper cites Efficient asynchronous federated learning with sparsification and quantization,.

Efficient Federated Learning with Timely Update Dissemination Efficient asynchronous federated learning with sparsification and quantization,

Reference 13

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 35958745-2162-401e-8138-4dbe50b99dcc · outbound

This paper cites Joint device scheduling and resource allo- cation for latency constrained wireless federated learning,.

Efficient Federated Learning with Timely Update Dissemination Joint device scheduling and resource allo- cation for latency constrained wireless federated learning,

Reference 14

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 6936c6f6-1069-4909-bffd-0902b26b05a5 · outbound

This paper cites Oort: Efficient federated learning via guided participant selection,.

Efficient Federated Learning with Timely Update Dissemination Oort: Efficient federated learning via guided participant selection,

Reference 15

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 52d7dd7e-fe9e-4789-b16e-608725491586 · outbound

This paper cites Client selection for federated learning with heterogeneous resources in mobile edge,.

Efficient Federated Learning with Timely Update Dissemination Client selection for federated learning with heterogeneous resources in mobile edge,

Reference 16

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation cc1d1d06-802f-4ef2-89cb-3e8ca3d3e349 · outbound

This paper cites Federated fingerprint learning with heterogeneous architectures,.

Efficient Federated Learning with Timely Update Dissemination Federated fingerprint learning with heterogeneous architectures,

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation f8e87c9b-2d72-45c4-9d6d-5038c0385b2e · outbound

This paper cites Fast federated machine unlearning with nonlinear functional theory,.

Efficient Federated Learning with Timely Update Dissemination Fast federated machine unlearning with nonlinear functional theory,

Reference 18

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 18216bbf-a638-4943-8f07-756dd4645816 · outbound

This paper cites Tackling the objective inconsistency problem in heterogeneous federated optimization,.

Efficient Federated Learning with Timely Update Dissemination Tackling the objective inconsistency problem in heterogeneous federated optimization,

Reference 19

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation a636975b-0836-465b-8707-a0002ea3542d · outbound

This paper cites Federated learning of large language models with parameter-efficient prompt tuning and adaptive optimization,.

Efficient Federated Learning with Timely Update Dissemination Federated learning of large language models with parameter-efficient prompt tuning and adaptive optimization,

Reference 20

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 8b33596d-1580-484c-9440-05bf82d22449 · outbound

This paper cites SCAFFOLD: Stochastic controlled averaging for federated learning,.

Efficient Federated Learning with Timely Update Dissemination SCAFFOLD: Stochastic controlled averaging for federated learning,

Reference 21

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 3857d0ab-52bb-43e8-b418-9b1c6c7c8d6f · outbound

This paper cites Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification.

Efficient Federated Learning with Timely Update Dissemination Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification

Reference 22

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Observation d62d8065-293f-402f-bc52-276bf69448bb · outbound

This paper cites Asynchronous Federated Learning on Heterogeneous Devices: A Survey.

Efficient Federated Learning with Timely Update Dissemination Asynchronous Federated Learning on Heterogeneous Devices: A Survey

Reference 23

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 5f681fa8-bc2a-4e90-8d8f-95494d90390f · outbound

This paper cites SAF A: A semi-asynchronous protocol for fast federated learning with low overhead,.

Efficient Federated Learning with Timely Update Dissemination SAF A: A semi-asynchronous protocol for fast federated learning with low overhead,

Reference 24

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 9e09e3df-fbc4-41c1-8c48-77ab2b8c3139 · outbound

This paper cites How asynchronous can federated learning be?.

Efficient Federated Learning with Timely Update Dissemination How asynchronous can federated learning be?

Reference 25

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation d88cdc01-edd7-41cf-aa76-c51e4885f5bf · outbound

This paper cites Asynchronous Federated Optimization.

Efficient Federated Learning with Timely Update Dissemination Asynchronous Federated Optimization

Reference 26

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Unavailable: canonical work link unavailable.

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Observation babfe357-6645-4521-96e6-fa2326f5ab58 · outbound

This paper cites Device scheduling with fast convergence for wireless feder- ated learning,.

Efficient Federated Learning with Timely Update Dissemination Device scheduling with fast convergence for wireless feder- ated learning,

Reference 27

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 8e314d26-b1e3-4479-973a-6cdec872cbf3 · outbound

This paper cites Efficient device scheduling with multi-job federated learning,.

Efficient Federated Learning with Timely Update Dissemination Efficient device scheduling with multi-job federated learning,

Reference 28

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 8287efd8-5d25-49d1-8285-27359a0e7108 · outbound

This paper cites Multi-job intelli- gent scheduling with cross-device federated learning,.

Efficient Federated Learning with Timely Update Dissemination Multi-job intelli- gent scheduling with cross-device federated learning,

Reference 29

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raw_fallback, observed 2026-08-06T19:20:40.790878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 55025811-a22f-4608-8188-8b9523b2f5ce · outbound

This paper cites FedDUAP: Federated learning with dynamic update and adaptive pruning using shared data on the server,.

Efficient Federated Learning with Timely Update Dissemination FedDUAP: Federated learning with dynamic update and adaptive pruning using shared data on the server,

Reference 30

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 99452505-1f33-43d2-af78-16b0fce8209e · outbound

This paper cites Fjord: Fair and accurate federated learning under heterogeneous targets with ordered dropout,.

Efficient Federated Learning with Timely Update Dissemination Fjord: Fair and accurate federated learning under heterogeneous targets with ordered dropout,

Reference 31

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raw_fallback, observed 2026-08-06T19:20:40.414496Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation d0e7dd78-4f09-4783-bf8b-a2670997b44f · outbound

This paper cites Fedhisyn: A hierarchical synchronous federated learning framework for resource and data heterogeneity,.

Efficient Federated Learning with Timely Update Dissemination Fedhisyn: A hierarchical synchronous federated learning framework for resource and data heterogeneity,

Reference 32

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raw_fallback, observed 2026-08-06T19:20:40.225236Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 7659211a-fa4b-4cb4-a586-9b6e4729d01d · outbound

This paper cites Hierarchical federated learning across heterogeneous cellular networks,.

Efficient Federated Learning with Timely Update Dissemination Hierarchical federated learning across heterogeneous cellular networks,

Reference 33

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 99d7297f-eaa0-4a9f-8b3e-de25f3fb84c2 · outbound

This paper cites Federated opti- mization in heterogeneous networks,.

Efficient Federated Learning with Timely Update Dissemination Federated opti- mization in heterogeneous networks,

Reference 34

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raw_fallback, observed 2026-08-06T19:20:39.911067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 1a5d4f2b-a2c1-4228-895b-9cafe9616bc9 · outbound

This paper cites Feder- ated learning based on dynamic regularization,.

Efficient Federated Learning with Timely Update Dissemination Feder- ated learning based on dynamic regularization,

Reference 35

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raw_fallback, observed 2026-08-06T19:20:39.741876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 9085fe49-b697-4630-8ded-8d24f7a7f97c · outbound

This paper cites No fear of heterogeneity: Classifier calibration for federated learning with non-iid data,.

Efficient Federated Learning with Timely Update Dissemination No fear of heterogeneity: Classifier calibration for federated learning with non-iid data,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:20:39.582388Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T19:20:27.264379Z digest=sha256:1538c48781a50fafd15f37d79c2fe287bf6b256aa60610dcb47b8880b085db33

Observation e825e190-6590-4c47-880c-7e05e71981f3 · outbound

This paper cites Adaptive federated optimization,.

Efficient Federated Learning with Timely Update Dissemination Adaptive federated optimization,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:20:39.401042Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T19:20:27.392605Z digest=sha256:5ee1d3566a95e39a034c303f520b3f46275bf2852d04bdc70f53c80dfd848159

Observation b9da8e8e-b810-4589-9927-6419d2066959 · outbound

This paper cites Model-contrastive federated learning,.

Efficient Federated Learning with Timely Update Dissemination Model-contrastive federated learning,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:20:39.226824Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T19:20:27.547478Z digest=sha256:3f0d1aa6a2902d67a0002aa4fc536fee113bf49c18712648a14afeabfce10ea8

Observation 3bdf5eee-3032-4ca7-ba46-53a21e5ad1b4 · outbound

This paper cites Partialfed: Cross-domain personalized federated learning via partial initialization,.

Efficient Federated Learning with Timely Update Dissemination Partialfed: Cross-domain personalized federated learning via partial initialization,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:20:39.065023Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T19:20:27.631806Z digest=sha256:2271bf539c97740053045152ab399468fc4f3cb255cb7f3030ab762425c02dd5

Observation 0f81b591-a5d1-4b0b-b8a2-3347605b5c62 · outbound

This paper cites Quped: Quantized personalization via distillation with applications to federated learning,.

Efficient Federated Learning with Timely Update Dissemination Quped: Quantized personalization via distillation with applications to federated learning,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:20:38.954414Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T19:20:27.734875Z digest=sha256:8f853a5381ae7fc29179df1ff305bdf8c3f929643322c7d2bee61709ce140af8

Observation 382d1368-a3d6-4c30-ba43-56dada029c32 · outbound

This paper cites Adaptive gradient-based meta-learning methods,.

Efficient Federated Learning with Timely Update Dissemination Adaptive gradient-based meta-learning methods,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:20:38.790412Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T19:20:27.848334Z digest=sha256:53df8b61c43f402e191818fc796c988cb79e6aa2ef44e286a01b26d991e72e34

Observation 1ec36ea0-7b62-4c72-8aa4-9b191a270186 · outbound

This paper cites Federated multi-task learning,.

Efficient Federated Learning with Timely Update Dissemination Federated multi-task learning,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:20:38.663881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T19:20:27.925435Z digest=sha256:0ab5e3cbd810873321eb108c55d7bfa7131efebe7eb2b07187a6b7edf377af29

Observation 6a836373-0e1c-43b8-9536-3ff099555aab · outbound

This paper cites Fedsa: A staleness-aware asynchronous federated learning algorithm with non-iid data,.

Efficient Federated Learning with Timely Update Dissemination Fedsa: A staleness-aware asynchronous federated learning algorithm with non-iid data,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:20:38.519192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T19:20:28.067485Z digest=sha256:a406c9610381aa5e4cdf71e5687d0a8110ac6910bc0b441c5cc91b254758643e

Observation be86b6ea-fa90-4a57-ae6f-f2041d9b85e7 · outbound

This paper cites Asynchronous online federated learning for edge devices with non-iid data,.

Efficient Federated Learning with Timely Update Dissemination Asynchronous online federated learning for edge devices with non-iid data,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:20:38.392012Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T19:20:28.255054Z digest=sha256:592741c5e0cbd7c4e4b86a61d5071ee5a73dfde3c3f6154fe58bf900001ed1d8

Observation a67d2a7e-bea4-4b36-bf52-8b389cd587a5 · outbound

This paper cites Attention-weighted federated deep reinforcement learning for device-to-device assisted heterogeneous collaborative edge caching,.

Efficient Federated Learning with Timely Update Dissemination Attention-weighted federated deep reinforcement learning for device-to-device assisted heterogeneous collaborative edge caching,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:20:38.252049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T19:20:28.367811Z digest=sha256:a262cfed39a9c3093d802494a9712e1f14286f6a3e7b957f705cbd52d29491aa

Observation 8860b018-b8c0-41df-a87c-52473a768fae · outbound

This paper cites Federated meta-learning with attention for diversity-aware human activity recognition,.

Efficient Federated Learning with Timely Update Dissemination Federated meta-learning with attention for diversity-aware human activity recognition,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:20:38.107157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T19:20:28.477163Z digest=sha256:b7c4b9f750c4299706353c136b28f1f1c83a7c7230f06473026f452040c05b26

Observation 77950503-5c80-4d5f-a780-8b7f83a5386e · outbound

This paper cites FedSSA: Semantic Similarity-based Aggregation for Efficient Model-Heterogeneous Personalized Federated Learning.

Efficient Federated Learning with Timely Update Dissemination FedSSA: Semantic Similarity-based Aggregation for Efficient Model-Heterogeneous Personalized Federated Learning

Reference 47

Resolution
verified exact
local_arxiv, observed 2026-08-06T19:20:32.417818Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T19:20:28.627212Z digest=sha256:22d0184b0aedb93ebf0b9d74b53a2eda4f4f0d25dce03eeeb98df6263865c8f4

Observation e0f9a10f-32ed-4235-8f69-a78aa70359d5 · outbound

This paper cites Fedasmu: Effi- cient asynchronous federated learning with dynamic staleness-aware model update,.

Efficient Federated Learning with Timely Update Dissemination Fedasmu: Effi- cient asynchronous federated learning with dynamic staleness-aware model update,

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:20:37.992456Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T19:20:28.769039Z digest=sha256:77a9d90f90fc5a9510e80e041d16f419ec80cdda857a67be41b924bf55f11c5d

Observation 85e62b14-15f8-4513-86dc-7fea87d72822 · outbound

This paper cites A comprehensive survey on knowledge- defined networking,.

Efficient Federated Learning with Timely Update Dissemination A comprehensive survey on knowledge- defined networking,

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:20:37.770079Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T19:20:28.857134Z digest=sha256:dfce815c78944e09afdbb09c060e9729515b3bb2e79e25e95663220df12925ab

Observation 2e1a5a18-efeb-4b46-ae8d-8692e5369dbb · outbound

This paper cites Fellas: Enhancing federated sequential recommendation with llm as external services,.

Efficient Federated Learning with Timely Update Dissemination Fellas: Enhancing federated sequential recommendation with llm as external services,

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:20:37.597899Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T19:20:28.929305Z digest=sha256:375ae210b1fcfcd0c04c2125e369d31b00342e4975af2da4491685fa530c0c7d

Observation e142c21f-a002-491e-848b-fe20bedee331 · outbound

This paper cites Hetefedrec: Federated recom- mender systems with model heterogeneity,.

Efficient Federated Learning with Timely Update Dissemination Hetefedrec: Federated recom- mender systems with model heterogeneity,

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:20:37.421399Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T19:20:29.039588Z digest=sha256:d02e34456e24264e1853b2a2e3eaf28fb2dec683e5b21aff28d9a3ecc0a900b1

Observation 66dc71fe-fe9c-415c-beb5-10b960a56a49 · outbound

This paper cites A systematic review on federated learn- ing system: a new paradigm to machine learning,.

Efficient Federated Learning with Timely Update Dissemination A systematic review on federated learn- ing system: a new paradigm to machine learning,

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:20:37.231235Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T19:20:29.166925Z digest=sha256:0bedea250b4e7037c74dbfc54fd8d4247349816caedc0882677f108a86ea5f41

Observation af8de7f0-2079-4a75-b4f2-cc100729b4dd · outbound

This paper cites A survey of federated learning for edge com- puting: Research problems and solutions,.

Efficient Federated Learning with Timely Update Dissemination A survey of federated learning for edge com- puting: Research problems and solutions,

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:20:36.944324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T19:20:29.285758Z digest=sha256:185b13eb860e2fcee7ce8a491ccc319a2f504cac48d8b2f7bb970823541f9d1b

Observation e2175440-5f99-4fd7-b440-d132f694f729 · outbound

This paper cites Federated-learning-enabled intelligent fog radio access networks: Fundamental theory, key techniques, and future trends,.

Efficient Federated Learning with Timely Update Dissemination Federated-learning-enabled intelligent fog radio access networks: Fundamental theory, key techniques, and future trends,

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:20:36.734865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T19:20:29.377511Z digest=sha256:f6d77a478df9ca46af62c33a7e1324643bcc4b3d55ae5532a3f87d61d27403f3

Observation 2861e3bb-282e-49cf-b354-e347e703dd9d · outbound

This paper cites In-edge ai: Intelligentizing mobile edge computing, caching and communication by federated learning,.

Efficient Federated Learning with Timely Update Dissemination In-edge ai: Intelligentizing mobile edge computing, caching and communication by federated learning,

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:20:36.486781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T19:20:29.457717Z digest=sha256:7bb6457a40cfa122f60acfc38a7f1bf75dd4edebac9af39edce45f938f0ceabb

Observation b0d0eb89-256e-4e8a-9bf4-9cb2dfbb54d9 · outbound

This paper cites Federated learning on internet of things: Extensive and systematic review.

Efficient Federated Learning with Timely Update Dissemination Federated learning on internet of things: Extensive and systematic review

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:20:36.249132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T19:20:29.559301Z digest=sha256:5cb3f4859cc15e94299406f7f76270b58a46c55fb7d7fb2146fedf63bb5330d2

Observation fa2bdeca-1511-4b3a-aada-5e90c5b1699a · outbound

This paper cites Fladen: Federated learning for anomaly detection in iot networks,.

Efficient Federated Learning with Timely Update Dissemination Fladen: Federated learning for anomaly detection in iot networks,

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:20:36.031447Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T19:20:29.654869Z digest=sha256:9c8b2f8dc67ed4ac1f76ba7570a40a2052b26a5fce62297cf17c5c7172444997

Observation 62c5e202-4c3d-4083-8c08-f12aad7fd8f9 · outbound

This paper cites Analyzing federated learning through an adversarial lens,.

Efficient Federated Learning with Timely Update Dissemination Analyzing federated learning through an adversarial lens,

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:20:35.775952Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T19:20:29.727108Z digest=sha256:64d01844b019303dbecaa67207dab291b3519327d0278bb3e9bb4adf8f813b3b

Observation 93d32c89-a2a8-49db-b6ef-5e34d76b4297 · outbound

This paper cites Exploiting unintended feature leakage in collaborative learning,.

Efficient Federated Learning with Timely Update Dissemination Exploiting unintended feature leakage in collaborative learning,

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:20:35.456001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T19:20:29.846824Z digest=sha256:73c87fd6ca4e4480c9d7ebea8d42eaa2b39540449201438c52e737453ebd384e

Observation 68ce5ebc-bcb3-4f15-b3c7-4a5117e1d53b · outbound

This paper cites Differential privacy,.

Efficient Federated Learning with Timely Update Dissemination Differential privacy,

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:20:35.235386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T19:20:29.945861Z digest=sha256:d0f3b1dbe93196862bb4705ecb82af2712b918b787975a8b5b8d4ac9659e23d2

Observation b1a0967f-f235-4633-b038-0fa61b447e7e · outbound

This paper cites Practical Secure Aggregation for Federated Learning on User-Held Data.

Efficient Federated Learning with Timely Update Dissemination Practical Secure Aggregation for Federated Learning on User-Held Data

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-06T19:20:30.037912Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:20:30.037912Z digest=sha256:a36414bff49db11fdba5d8db253ddc828b45493445ab6a22679a83ee960636ac

Observation d32cab88-275b-4cbc-aff6-89afe9c50e96 · outbound

This paper cites Towards federated learning at scale: System design,.

Efficient Federated Learning with Timely Update Dissemination Towards federated learning at scale: System design,

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:20:35.065436Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T19:20:30.140610Z digest=sha256:2279292f065100a356c5e85611595800a23057fe6dc5ebc1f75392c39adeaee0

Observation f01145df-7e69-4904-9b2b-fb588f1672ca · outbound

This paper cites Timely communication in federated learning,.

Efficient Federated Learning with Timely Update Dissemination Timely communication in federated learning,

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:20:34.906190Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T19:20:30.235374Z digest=sha256:ac3e6d4bc5ce118dfc92eccefc4a314a8867776d57fa9f048ac821e41444b394

Observation 76eee5da-a04d-4cec-8861-3f4c11c6ef7f · outbound

This paper cites Hide your model: A param- eter transmission-free federated recommender system,.

Efficient Federated Learning with Timely Update Dissemination Hide your model: A param- eter transmission-free federated recommender system,

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:20:34.753604Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T19:20:30.311653Z digest=sha256:adf9d3b76b0aebd9dda1b666ac62b91ffbcf7e64d7ae3f6dc2938e16e5d3d94b

Observation 20b1962e-f706-4ce7-b5d3-97641dd18251 · outbound

This paper cites Federated learning with buffered asynchronous aggregation,.

Efficient Federated Learning with Timely Update Dissemination Federated learning with buffered asynchronous aggregation,

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:20:34.636212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T19:20:30.376714Z digest=sha256:7211dc8c5fe84cfe8d6ad5b6af3e266e9b0bdbd853432b58261ba3df0272706f

Observation 79386ac8-0b00-4396-a002-9063f213b1e2 · outbound

This paper cites Fedpa: An adaptively partial model aggregation strategy in federated learning,.

Efficient Federated Learning with Timely Update Dissemination Fedpa: An adaptively partial model aggregation strategy in federated learning,

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:20:34.529102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T19:20:30.501571Z digest=sha256:ee416c78ab605111afc3e7bfdfbc4d3ed959cdd26414c36b8b7ff3328f637952

Observation ec19625c-de18-43a6-becd-74bb0785cf23 · outbound

This paper cites Sageflow: Robust federated learning against both stragglers and adversaries,.

Efficient Federated Learning with Timely Update Dissemination Sageflow: Robust federated learning against both stragglers and adversaries,

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:20:34.424995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T19:20:30.585285Z digest=sha256:4df481efb11514b8f6d705abb867b145b6bbea73b41c4cfde27f51fab75c2fa2

Observation 3b7db9e5-7b0e-46ca-b121-a1efea4b663d · outbound

This paper cites More effective distributed ml via a stale synchronous parallel parameter server,.

Efficient Federated Learning with Timely Update Dissemination More effective distributed ml via a stale synchronous parallel parameter server,

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:20:34.260751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T19:20:30.682493Z digest=sha256:92217edcbecfd97be32926dba5590a983ec7231fbfa05c25d4895148955e5b4d

Observation f583fd71-efc1-483c-a551-bc8749299353 · outbound

This paper cites an unresolved cited work.

Efficient Federated Learning with Timely Update Dissemination Unresolved cited work

Reference 69

Resolution
unresolved
raw_fallback, observed 2026-08-06T19:20:34.055017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T19:20:30.736093Z digest=sha256:c55c51bc44c34414d02b0ca70cf197cfd5afdd6070781f366eb35bcf7e95e2cb

Observation b3b0e79f-f641-407a-9f68-aa4f7d91faa4 · outbound

This paper cites A stochastic approximation method,.

Efficient Federated Learning with Timely Update Dissemination A stochastic approximation method,

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:20:33.856249Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T19:20:30.831143Z digest=sha256:30a25eb8113dfd88e1e1c767a546d9273f947c0171934b0bdd27f9a0d57a0e9d

Observation c606bf49-568d-471a-98d6-64c9888e1270 · outbound

This paper cites Technical note q-learning,.

Efficient Federated Learning with Timely Update Dissemination Technical note q-learning,

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:20:33.671710Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T19:20:30.905964Z digest=sha256:699fed82dfc4715594c4c460889c6609c78e61d85045595c4bc8179bfb495a59

Observation c3fe45a0-469f-46b9-958f-12129e49e7a9 · outbound

This paper cites Online reinforcement learning by bayesian inference,.

Efficient Federated Learning with Timely Update Dissemination Online reinforcement learning by bayesian inference,

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:20:33.561793Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T19:20:31.018849Z digest=sha256:8f6b04143b455577f992e7b5039a111c5c09bf07d0a4fc8e78ef6178c5d07c77

Observation 5b293195-d82c-40aa-ad33-51a3c7e67406 · outbound

This paper cites Neural architecture search with reinforcement learning,.

Efficient Federated Learning with Timely Update Dissemination Neural architecture search with reinforcement learning,

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:20:33.451955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T19:20:31.096945Z digest=sha256:a5b6ff91889040a82a3bd1b290afa3ca576a09adb4a2dca78ef394d5d3bc5c9c

Observation e43e0130-d51b-4060-981d-e44be8ca4304 · outbound

This paper cites Hierarchical reinforcement learning with the maxq value function de- composition,.

Efficient Federated Learning with Timely Update Dissemination Hierarchical reinforcement learning with the maxq value function de- composition,

Reference 74

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:20:33.335851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T19:20:31.170252Z digest=sha256:a6ed0f137401ef74fbe57535b7906fbfeee1aab4794b343ea1b624ad4d80cae3

Observation 28c713ac-d4ff-4bfe-8824-e6f24d04643c · outbound

This paper cites FedL WS: Federated learning with adaptive layer-wise weight shrinking,.

Efficient Federated Learning with Timely Update Dissemination FedL WS: Federated learning with adaptive layer-wise weight shrinking,

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:20:33.236585Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T19:20:31.263332Z digest=sha256:40141d7a3fcf696b37cdaca7481ab9d8d755bb22cf3a5c49a124b952c1cb1fc8

Observation ca6abc4b-2f58-4275-94f2-5cea90e6d885 · outbound

This paper cites Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms.

Efficient Federated Learning with Timely Update Dissemination Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms

Reference 76

Resolution
unresolved
no resolver link, observed 2026-08-06T19:20:31.352306Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:20:31.352306Z digest=sha256:b76dfe1acf27845d153d919705f19ea7f3d23b72e0d5b646128aa6f8a9bb56e7

Observation 19ccf55f-8f3f-41ca-a6f7-824ceef79976 · outbound

This paper cites Learning multiple layers of features from tiny images,.

Efficient Federated Learning with Timely Update Dissemination Learning multiple layers of features from tiny images,

Reference 77

Resolution
unresolved
no resolver link, observed 2026-08-06T19:20:31.407449Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:20:31.407449Z digest=sha256:7e3e179d4e74309dd3440d82497a4c87d7eecd496b17c4049e564a671e5a2c5c

Observation 512b1d02-7b77-4854-a8a3-5b0b5c7cce4f · outbound

This paper cites Distilled One-Shot Federated Learning.

Efficient Federated Learning with Timely Update Dissemination Distilled One-Shot Federated Learning

Reference 78

Resolution
unresolved
no resolver link, observed 2026-08-06T19:20:31.519097Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:20:31.519097Z digest=sha256:88c944804cad6159ba2086193368430c873a8e385eb547b70e9c1932c2a7e448

Observation bce9608e-b9f9-48ed-9b6a-f902b33dcd10 · outbound

This paper cites Tiny imagenet visual recognition challenge,.

Efficient Federated Learning with Timely Update Dissemination Tiny imagenet visual recognition challenge,

Reference 79

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:20:33.115112Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T19:20:31.579005Z digest=sha256:8fe936fc843470161b666c285a9e3a89c5dfb9b322731bd12bc31d97f3595b71

Observation 5ff7a6de-9535-4a02-9e9b-6f5938be6791 · outbound

This paper cites Federated Learning on Non-IID Data Silos: An Experimental Study.

Efficient Federated Learning with Timely Update Dissemination Federated Learning on Non-IID Data Silos: An Experimental Study

Reference 80

Resolution
unresolved
no resolver link, observed 2026-08-06T19:20:31.681560Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:20:31.681560Z digest=sha256:ac083d0e8a5043d32412ea94727d003801dc05bb646cc4205e6d19bb0a65873b

Observation 313e8315-180b-4405-bcab-cf8ea2cc2979 · outbound

This paper cites Handwritten digit recognition with a back-propagation network,.

Efficient Federated Learning with Timely Update Dissemination Handwritten digit recognition with a back-propagation network,

Reference 81

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:20:32.985734Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T19:20:31.768271Z digest=sha256:3828157e6caacc4bfce9c497d86791535df86d197bbd8cb22bf50aaff8c46a8c

Observation 3ad50c34-f5c8-4383-98d8-f4e89c8265f8 · outbound

This paper cites Deep residual learning for image recognition,.

Efficient Federated Learning with Timely Update Dissemination Deep residual learning for image recognition,

Reference 82

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:20:32.856581Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T19:20:31.848268Z digest=sha256:31b026c2d2db8dff0c2223ed151a351e0eb2ec9abc6ed03d7a0a18d9e8480c7a

Observation dd45595e-f7d9-498c-a2a3-06b58053e722 · outbound

This paper cites Imagenet classification with deep con- volutional neural networks,.

Efficient Federated Learning with Timely Update Dissemination Imagenet classification with deep con- volutional neural networks,

Reference 83

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:20:32.752001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T19:20:31.937559Z digest=sha256:55dfea82f45ad4417dcca03e40fb50a8c770737b0e9e474c0836a7cbc0ba7201

Observation 4a87f093-c89f-4457-a6f5-7739cca2b03b · outbound

This paper cites Very deep convolutional networks for large-scale image recognition,.

Efficient Federated Learning with Timely Update Dissemination Very deep convolutional networks for large-scale image recognition,

Reference 84

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:20:32.656191Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T19:20:32.028344Z digest=sha256:b33aa083948fd2b738ad928672f7ddc8b164651db41886ab682e7c1f03d313a7

Pith citing papers

No inbound Pith citation observations are available.