Efficient Federated Learning with Timely Update Dissemination | Paper Citation Record

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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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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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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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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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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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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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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:20:43.465300Z

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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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:20:43.242828Z

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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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:20:43.063435Z

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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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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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Source-reported events for the cited work

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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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:20:42.513963Z

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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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:20:42.359116Z

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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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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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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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:20:41.772510Z

Source-reported events for the cited work

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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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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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:20:41.605964Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:20:41.336340Z

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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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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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:20:41.207112Z

Source-reported events for the cited work

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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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:20:40.995737Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:20:40.790878Z

Source-reported events for the cited work

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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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:20:40.607844Z

Source-reported events for the cited work

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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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:20:40.414496Z

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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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:20:40.225236Z

Source-reported events for the cited work

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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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:20:40.085419Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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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Source-reported events for the cited work

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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 2026-08-19T06:32:44.657259+00:00.

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 2026-08-19T06:32:44.657259+00:00.

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This paper cites Model-contrastive federated learning,.

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

Reference 38

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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 2026-08-19T06:32:44.657259+00:00.

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 2026-08-19T06:32:44.657259+00:00.

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

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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

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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 2026-08-19T06:32:44.657259+00:00.

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 2026-08-19T06:32:44.657259+00:00.

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 2026-08-19T06:32:44.657259+00:00.

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 2026-08-19T06:32:44.657259+00:00.

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 2026-08-19T06:32:44.657259+00:00.

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 2026-08-19T06:32:44.657259+00:00.

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 2026-08-19T06:32:44.657259+00:00.

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 2026-08-19T06:32:44.657259+00:00.

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 2026-08-19T06:32:44.657259+00:00.

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 2026-08-19T06:32:44.657259+00:00.

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 2026-08-19T06:32:44.657259+00:00.

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 2026-08-19T06:32:44.657259+00:00.

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 2026-08-19T06:32:44.657259+00:00.

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 2026-08-19T06:32:44.657259+00:00.

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 2026-08-19T06:32:44.657259+00:00.

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 2026-08-19T06:32:44.657259+00:00.

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 2026-08-19T06:32:44.657259+00:00.

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 2026-08-19T06:32:44.657259+00:00.

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.

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 2026-08-19T06:32:44.657259+00:00.

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 2026-08-19T06:32:44.657259+00:00.

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 2026-08-19T06:32:44.657259+00:00.

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 2026-08-19T06:32:44.657259+00:00.

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 2026-08-19T06:32:44.657259+00:00.

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 2026-08-19T06:32:44.657259+00:00.

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 2026-08-19T06:32:44.657259+00:00.

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 2026-08-19T06:32:44.657259+00:00.

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 2026-08-19T06:32:44.657259+00:00.

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 2026-08-19T06:32:44.657259+00:00.

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 2026-08-19T06:32:44.657259+00:00.

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 2026-08-19T06:32:44.657259+00:00.

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 2026-08-19T06:32:44.657259+00:00.

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 2026-08-19T06:32:44.657259+00:00.

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.

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.

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.

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 2026-08-19T06:32:44.657259+00:00.

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.

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 2026-08-19T06:32:44.657259+00:00.

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 2026-08-19T06:32:44.657259+00:00.

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 2026-08-19T06:32:44.657259+00:00.

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 2026-08-19T06:32:44.657259+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers