Paper Citation Record · LEDGER

FedBKD: Distilled Federated Learning to Embrace Gerneralization and Personalization on Non-IID Data

As of 8 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 1 inbound Pith citation observation for arXiv:2506.20245.

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

pith.paper-citation-record.v1
2506.20245 v1

Coverage vector

measured 48 of 48 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T22:59:37.333519Z

measured 49 of 49 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-21T16:32:04.350053Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-21T16:34:16.359345Z

Reference resolution

48 of 48 outbound references displayed

verified exact2
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0e97ffa8-ae78-4406-bbf4-0d8618925f7a · outbound

This paper cites Federated Learning with Personalization Layers.

FedBKD: Distilled Federated Learning to Embrace Gerneralization and Personalization on Non-IID Data Federated Learning with Personalization Layers

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ede9ad31-663a-4f3a-8b17-a1e58ef59a62 · outbound

This paper cites Federated learning with personalization layers.arXiv: Learning, 2019.

FedBKD: Distilled Federated Learning to Embrace Gerneralization and Personalization on Non-IID Data Federated learning with personalization layers.arXiv: Learning, 2019

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:59:38.159475Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d2b6ae74-59e5-48cf-b25a-7f8eca6c354a · outbound

This paper cites Algorithms for hyper-parameter optimization.Ad- vances in neural information processing systems, 24, 2011.

FedBKD: Distilled Federated Learning to Embrace Gerneralization and Personalization on Non-IID Data Algorithms for hyper-parameter optimization.Ad- vances in neural information processing systems, 24, 2011

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:59:38.142270Z

Source-reported events for the cited work

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Observation f145c2ef-c8bb-4cd7-88c6-829406737663 · outbound

This paper cites Federated learning with hierarchical clustering of local updates to im- prove training on non-iid data.

FedBKD: Distilled Federated Learning to Embrace Gerneralization and Personalization on Non-IID Data Federated learning with hierarchical clustering of local updates to im- prove training on non-iid data

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:59:38.126157Z

Source-reported events for the cited work

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Observation abb31d6d-edd0-487a-af44-dbb1119292db · outbound

This paper cites LEAF: A Benchmark for Federated Settings.

FedBKD: Distilled Federated Learning to Embrace Gerneralization and Personalization on Non-IID Data LEAF: A Benchmark for Federated Settings

Reference 5

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Observation 2f6c1659-f7fe-4cc2-9e75-54b5dd82daf8 · outbound

This paper cites Personalized Federated Learning With Graph.

FedBKD: Distilled Federated Learning to Embrace Gerneralization and Personalization on Non-IID Data Personalized Federated Learning With Graph

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T22:59:37.125381Z

Source-reported events for the cited work

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Observation 1f1c93f9-f393-4c73-8385-66476aa3d3fa · outbound

This paper cites Data-free learning of student networks.

FedBKD: Distilled Federated Learning to Embrace Gerneralization and Personalization on Non-IID Data Data-free learning of student networks

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:59:38.108244Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 873ff42b-9e81-43be-ac05-65ba20166b58 · outbound

This paper cites FedBE: Making Bayesian Model Ensemble Applicable to Federated Learning.

FedBKD: Distilled Federated Learning to Embrace Gerneralization and Personalization on Non-IID Data FedBE: Making Bayesian Model Ensemble Applicable to Federated Learning

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T22:59:37.136885Z

Source-reported events for the cited work

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Observation eb358611-8d65-4489-98fd-94e1c064a464 · outbound

This paper cites On Bridging Generic and Personalized Federated Learning for Image Classification.

FedBKD: Distilled Federated Learning to Embrace Gerneralization and Personalization on Non-IID Data On Bridging Generic and Personalized Federated Learning for Image Classification

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T22:59:37.142062Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4d696138-26be-4e1b-986f-f416d9cd2584 · outbound

This paper cites Fedmatch: Federated learning over heteroge- neous question answering data.

FedBKD: Distilled Federated Learning to Embrace Gerneralization and Personalization on Non-IID Data Fedmatch: Federated learning over heteroge- neous question answering data

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:59:38.092164Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6b60cf13-31c1-4cf9-a9dc-b0ed1447841a · outbound

This paper cites Meta-Learning Based Knowledge Extrapolation for Knowledge Graphs in the Federated Setting.

FedBKD: Distilled Federated Learning to Embrace Gerneralization and Personalization on Non-IID Data Meta-Learning Based Knowledge Extrapolation for Knowledge Graphs in the Federated Setting

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T22:59:37.152306Z

Source-reported events for the cited work

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Observation bf254fa2-e99f-4c3d-bd93-c5b192e58c8a · outbound

This paper cites Exploiting shared representations for personal- ized federated learning.arXiv: Learning, 2021.

FedBKD: Distilled Federated Learning to Embrace Gerneralization and Personalization on Non-IID Data Exploiting shared representations for personal- ized federated learning.arXiv: Learning, 2021

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:59:38.076486Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b7f3747b-1485-4c7b-8493-9bc80edfa94c · outbound

This paper cites Exploiting shared representations for personal- ized federated learning.arXiv: Learning, 2021.

FedBKD: Distilled Federated Learning to Embrace Gerneralization and Personalization on Non-IID Data Exploiting shared representations for personal- ized federated learning.arXiv: Learning, 2021

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:59:38.060065Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation bf461381-ba51-4795-a9ea-5b10bdf9a1aa · outbound

This paper cites Adaptive personalized federated learning.arXiv: Learning, 2021.

FedBKD: Distilled Federated Learning to Embrace Gerneralization and Personalization on Non-IID Data Adaptive personalized federated learning.arXiv: Learning, 2021

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:59:38.042419Z

Source-reported events for the cited work

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Observation 169f746a-e152-4836-a7a5-4d59981bfabd · outbound

This paper cites Dinh, Tung Thanh Vu, Nguyen H.

FedBKD: Distilled Federated Learning to Embrace Gerneralization and Personalization on Non-IID Data Dinh, Tung Thanh Vu, Nguyen H

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:59:38.025260Z

Source-reported events for the cited work

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Observation a0322c86-9ac7-4b3e-b66e-190b50d5ec32 · outbound

This paper cites Private semi- supervised federated learning.

FedBKD: Distilled Federated Learning to Embrace Gerneralization and Personalization on Non-IID Data Private semi- supervised federated learning

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:59:38.005015Z

Source-reported events for the cited work

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Observation a4dd50ec-64f9-441d-a3c0-7d3c99ccd3a4 · outbound

This paper cites One-Shot Federated Learning.

FedBKD: Distilled Federated Learning to Embrace Gerneralization and Personalization on Non-IID Data One-Shot Federated Learning

Reference 17

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Observation 5fa715eb-145c-482f-8481-7937054b8ee2 · outbound

This paper cites Federated learning of a mixture of global and local models.arXiv: Learning, 2021.

FedBKD: Distilled Federated Learning to Embrace Gerneralization and Personalization on Non-IID Data Federated learning of a mixture of global and local models.arXiv: Learning, 2021

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:59:37.985304Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b2356bf4-f975-4c0b-b35c-1677610e3a02 · outbound

This paper cites Towards fair federated learning with zero-shot data augmentation.

FedBKD: Distilled Federated Learning to Embrace Gerneralization and Personalization on Non-IID Data Towards fair federated learning with zero-shot data augmentation

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:59:37.968816Z

Source-reported events for the cited work

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Observation e22a4544-af40-40ef-b9e4-b7de1ab62ef7 · outbound

This paper cites Group knowledge transfer: Federated learning of large cnns at the edge.Advances in Neural Information Processing Sys- tems, 33:14068–14080, 2020.

FedBKD: Distilled Federated Learning to Embrace Gerneralization and Personalization on Non-IID Data Group knowledge transfer: Federated learning of large cnns at the edge.Advances in Neural Information Processing Sys- tems, 33:14068–14080, 2020

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:59:37.952897Z

Source-reported events for the cited work

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Observation 5fd7444e-37b9-4cfb-99d9-2eb2ea1dd9ad · outbound

This paper cites Personalized cross-silo federated learning on non-iid data.

FedBKD: Distilled Federated Learning to Embrace Gerneralization and Personalization on Non-IID Data Personalized cross-silo federated learning on non-iid data

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:59:37.936247Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation bfd1e3b0-6fa4-4372-9771-96e36645334c · outbound

This paper cites Personalized cross-silo federated learning on non-iid data.

FedBKD: Distilled Federated Learning to Embrace Gerneralization and Personalization on Non-IID Data Personalized cross-silo federated learning on non-iid data

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:59:37.916651Z

Source-reported events for the cited work

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Observation efa68fa6-85ff-4a1d-bb13-b51699e68e51 · outbound

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

FedBKD: Distilled Federated Learning to Embrace Gerneralization and Personalization on Non-IID Data Learning multiple layers of features from tiny images

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T22:59:37.209959Z

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Observation 67153077-3e9d-45da-b3a2-4181049916bc · outbound

This paper cites Sur- vey of personalization techniques for federated learning.

FedBKD: Distilled Federated Learning to Embrace Gerneralization and Personalization on Non-IID Data Sur- vey of personalization techniques for federated learning

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:59:37.889983Z

Source-reported events for the cited work

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Observation 2e010ee3-a1d7-4bb3-b496-955547203c8e · outbound

This paper cites FedMD: Heterogenous Federated Learning via Model Distillation.

FedBKD: Distilled Federated Learning to Embrace Gerneralization and Personalization on Non-IID Data FedMD: Heterogenous Federated Learning via Model Distillation

Reference 25

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Observation 5401e78c-0d45-4417-b7ac-93a70e492429 · outbound

This paper cites Ditto: Fair and robust federated learning through personalization.

FedBKD: Distilled Federated Learning to Embrace Gerneralization and Personalization on Non-IID Data Ditto: Fair and robust federated learning through personalization

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:59:37.873637Z

Source-reported events for the cited work

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Observation cbf02ce9-2d13-4595-8b3e-bbb094800bf2 · outbound

This paper cites Federated optimiza- tion in heterogeneous networks.Proceedings of Machine learning and systems, 2:429–450, 2020.

FedBKD: Distilled Federated Learning to Embrace Gerneralization and Personalization on Non-IID Data Federated optimiza- tion in heterogeneous networks.Proceedings of Machine learning and systems, 2:429–450, 2020

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:59:37.858368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a5b1aa5d-0226-4621-87b7-ba84b4d309b6 · outbound

This paper cites FedDKD: Federated Learning with Decentralized Knowledge Distillation.

FedBKD: Distilled Federated Learning to Embrace Gerneralization and Personalization on Non-IID Data FedDKD: Federated Learning with Decentralized Knowledge Distillation

Reference 28

Resolution: verified exact; local_arxiv, observed 2026-08-06T22:59:37.465015Z

Source-reported events for the cited work

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Observation 67d8274d-b5f0-4fa1-845d-4d8dc0f7775c · outbound

This paper cites Think locally, act glob- ally: Federated learning with local and global representa- tions.arXiv: Learning, 2020.

FedBKD: Distilled Federated Learning to Embrace Gerneralization and Personalization on Non-IID Data Think locally, act glob- ally: Federated learning with local and global representa- tions.arXiv: Learning, 2020

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:59:37.841918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 61051661-9275-438b-9065-7e1e6b9a2c4d · outbound

This paper cites Think locally, act glob- ally: Federated learning with local and global representa- tions.arXiv: Learning, 2020.

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:59:37.826160Z

Source-reported events for the cited work

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Observation 3f5b1218-200c-46cc-8b0d-9751fac9ea25 · outbound

This paper cites Ensemble distillation for robust model fusion in fed- erated learning.Advances in Neural Information Processing Systems, 33:2351–2363, 2020.

FedBKD: Distilled Federated Learning to Embrace Gerneralization and Personalization on Non-IID Data Ensemble distillation for robust model fusion in fed- erated learning.Advances in Neural Information Processing Systems, 33:2351–2363, 2020

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:59:37.810641Z

Source-reported events for the cited work

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Observation 221d46de-650a-4adf-91b5-f5538f46510a · outbound

This paper cites Federated learning for privacy- preserving open innovation future on digital health.

FedBKD: Distilled Federated Learning to Embrace Gerneralization and Personalization on Non-IID Data Federated learning for privacy- preserving open innovation future on digital health

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:59:37.795581Z

Source-reported events for the cited work

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Observation e2426f18-8044-4e71-a9ba-0498340c5cda · outbound

This paper cites Federated learning for open banking.

FedBKD: Distilled Federated Learning to Embrace Gerneralization and Personalization on Non-IID Data Federated learning for open banking

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:59:37.779146Z

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Observation ee1118f7-84fb-48fe-808d-78c287aa350e · outbound

This paper cites Adapt to Adaptation: Learning Personalization for Cross-Silo Federated Learning.

FedBKD: Distilled Federated Learning to Embrace Gerneralization and Personalization on Non-IID Data Adapt to Adaptation: Learning Personalization for Cross-Silo Federated Learning

Reference 34

Resolution: verified exact; local_arxiv, observed 2026-08-06T22:59:37.442092Z

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Observation 5e27d9a4-9f82-41d2-8507-4a77c65aa53b · outbound

This paper cites Mode seeking generative adversarial networks for diverse image synthesis.

FedBKD: Distilled Federated Learning to Embrace Gerneralization and Personalization on Non-IID Data Mode seeking generative adversarial networks for diverse image synthesis

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:59:37.762855Z

Source-reported events for the cited work

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Observation 14eee79d-e7c3-436f-86af-258f572d682f · outbound

This paper cites Brendan McMahan, Eider Moore, Daniel Ramage, Seth Hampson, and Blaise Aguera y Arcas.

FedBKD: Distilled Federated Learning to Embrace Gerneralization and Personalization on Non-IID Data Brendan McMahan, Eider Moore, Daniel Ramage, Seth Hampson, and Blaise Aguera y Arcas

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:59:37.746144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7f176e21-5575-4e74-b6f6-e7f71ff791dd · outbound

This paper cites Brendan McMahan, Eider Moore, Daniel Ramage, Seth Hampson, and Blaise Aguera y Arcas.

FedBKD: Distilled Federated Learning to Embrace Gerneralization and Personalization on Non-IID Data Brendan McMahan, Eider Moore, Daniel Ramage, Seth Hampson, and Blaise Aguera y Arcas

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:59:37.730548Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation aad1d10b-ed7f-48f7-84fa-6f8c0d629be7 · outbound

This paper cites Personalized federated learning using hypernetworks.arXiv: Learning, 2021.

FedBKD: Distilled Federated Learning to Embrace Gerneralization and Personalization on Non-IID Data Personalized federated learning using hypernetworks.arXiv: Learning, 2021

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:59:37.713682Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8a3b456f-ceb6-4f39-aa00-85d8714e8fb1 · outbound

This paper cites Federated Learning on Heterogeneous and Long-Tailed Data via Classifier Re-Training with Federated Features.

FedBKD: Distilled Federated Learning to Embrace Gerneralization and Personalization on Non-IID Data Federated Learning on Heterogeneous and Long-Tailed Data via Classifier Re-Training with Federated Features

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-06T22:59:37.289056Z

Source-reported events for the cited work

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Observation de1a9ec0-dca9-4b50-92bf-0e0d77b181f7 · outbound

This paper cites Fed-ensemble: Improving Generalization through Model Ensembling in Federated Learning.

FedBKD: Distilled Federated Learning to Embrace Gerneralization and Personalization on Non-IID Data Fed-ensemble: Improving Generalization through Model Ensembling in Federated Learning

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-06T22:59:37.294041Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 271e4473-c7d7-432e-b7e2-50781f8ade00 · outbound

This paper cites Feded: Federated learning via ensemble distillation for medical relation extraction.

FedBKD: Distilled Federated Learning to Embrace Gerneralization and Personalization on Non-IID Data Feded: Federated learning via ensemble distillation for medical relation extraction

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:59:37.697087Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 762f3543-02b0-4456-9878-8603bd51703b · outbound

This paper cites Personalized federated learning with moreau envelopes.Advances in Neu- ral Information Processing Systems, 33:21394–21405, 2020.

FedBKD: Distilled Federated Learning to Embrace Gerneralization and Personalization on Non-IID Data Personalized federated learning with moreau envelopes.Advances in Neu- ral Information Processing Systems, 33:21394–21405, 2020

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:59:37.679261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6673f7c4-d105-4037-827b-5a6a1574dc9d · outbound

This paper cites Personalized federated learning with contextualized generalization.

FedBKD: Distilled Federated Learning to Embrace Gerneralization and Personalization on Non-IID Data Personalized federated learning with contextualized generalization

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:59:37.662335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 709eaca4-26cb-4201-9fa0-f41397b5cfc3 · outbound

This paper cites Personal- ized federated learning by structured and unstructured prun- ing under data heterogeneity.arXiv: Learning, 2021.

FedBKD: Distilled Federated Learning to Embrace Gerneralization and Personalization on Non-IID Data Personal- ized federated learning by structured and unstructured prun- ing under data heterogeneity.arXiv: Learning, 2021

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:59:37.639555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 805a1bc6-baf4-4bfa-9e74-f77b67d57664 · outbound

This paper cites Federated Learning with Matched Averaging.

FedBKD: Distilled Federated Learning to Embrace Gerneralization and Personalization on Non-IID Data Federated Learning with Matched Averaging

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-06T22:59:37.317856Z

Source-reported events for the cited work

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Observation 4d1c7e3f-cd8a-4d03-8c1c-b8271c224d29 · outbound

This paper cites FedCG: Leverage Conditional GAN for Protecting Privacy and Maintaining Competitive Performance in Federated Learning.

FedBKD: Distilled Federated Learning to Embrace Gerneralization and Personalization on Non-IID Data FedCG: Leverage Conditional GAN for Protecting Privacy and Maintaining Competitive Performance in Federated Learning

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-06T22:59:37.323613Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e42c1840-f8b1-4d6e-883f-a51a28b0169e · outbound

This paper cites Bayesian nonparametric federated learning of neural networks.

FedBKD: Distilled Federated Learning to Embrace Gerneralization and Personalization on Non-IID Data Bayesian nonparametric federated learning of neural networks

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:59:37.621600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4be9ba62-850f-41b9-84ff-370b8f288128 · outbound

This paper cites Data-free knowledge distillation for heterogeneous federated learning.

FedBKD: Distilled Federated Learning to Embrace Gerneralization and Personalization on Non-IID Data Data-free knowledge distillation for heterogeneous federated learning

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:59:37.605698Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Pith citing papers

Observation 00cedbbf-fe25-410d-b66f-9fceb69859cc · inbound

Secure, Verifiable, and Scalable Multi-Client Data Sharing via Consensus-Based Privacy-Preserving Data Distribution cites this paper.

Secure, Verifiable, and Scalable Multi-Client Data Sharing via Consensus-Based Privacy-Preserving Data Distribution FedBKD: Distilled Federated Learning to Embrace Gerneralization and Personalization on Non-IID Data

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-05-21T16:34:16.361918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.