Robust Federated Learning Under Real-World Client Churn | Paper Citation Record

Observation 27f99424-4ae9-4613-9eef-5c697efabd0b · outbound

This paper cites M., Sahu, A.

Robust Federated Learning Under Real-World Client Churn M., Sahu, A

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T22:36:36.608463Z

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Observation 110d89b1-da84-45cc-b65f-c9ef756b57e1 · outbound

This paper cites Flower: A Friendly Federated Learning Research Framework.

Robust Federated Learning Under Real-World Client Churn Flower: A Friendly Federated Learning Research Framework

Reference 2

Resolution: metadata mismatch; local_arxiv, observed 2026-07-09T22:36:36.213359Z

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Observation 6a8fd365-3d3e-430b-86e7-1a094d0c720d · outbound

This paper cites an unresolved cited work.

Robust Federated Learning Under Real-World Client Churn Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-07-09T22:36:36.610584Z

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Observation 255c908f-40b9-4d9c-8c56-0505b2cea609 · outbound

This paper cites S., Chen, R., Mela, T., Olshevsky, A., Paschalidis, I.

Robust Federated Learning Under Real-World Client Churn S., Chen, R., Mela, T., Olshevsky, A., Paschalidis, I

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T22:36:36.614464Z

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Observation 72c5fd82-656a-4ed5-8a57-dca1701dc1fe · outbound

This paper cites an unresolved cited work.

Robust Federated Learning Under Real-World Client Churn Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-07-09T22:36:36.604482Z

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Observation 30e31487-b4a4-47cb-b165-09284aedde97 · outbound

This paper cites Federated Learning of N-gram Language Models.

Robust Federated Learning Under Real-World Client Churn Federated Learning of N-gram Language Models

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-07-09T22:36:36.208577Z

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Observation 35cb766b-337f-478a-9acb-7880ab615030 · outbound

This paper cites In2020 IEEE International Conference on Big Data (Big Data)(2020), IEEE, pp.

Robust Federated Learning Under Real-World Client Churn In2020 IEEE International Conference on Big Data (Big Data)(2020), IEEE, pp

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T22:36:36.606504Z

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Observation 267e00ed-0b49-4d2c-af66-435f28a80b6f · outbound

This paper cites an unresolved cited work.

Robust Federated Learning Under Real-World Client Churn Unresolved cited work

Reference 8

Resolution: unresolved; raw_fallback, observed 2026-07-09T22:36:36.600855Z

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Observation 70fb86dc-99e2-449e-96ee-e4eca5cb47a0 · outbound

This paper cites K., Ingram, S., Mudigere, D., Krishnamoorthi, R., Nair, K., Smelyanskiy, M., and Annavaram, M.

Robust Federated Learning Under Real-World Client Churn K., Ingram, S., Mudigere, D., Krishnamoorthi, R., Nair, K., Smelyanskiy, M., and Annavaram, M

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T22:36:36.598959Z

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Observation 4e13ac51-a93a-42d7-ad7b-3248b0eb1a35 · outbound

This paper cites an unresolved cited work.

Robust Federated Learning Under Real-World Client Churn Unresolved cited work

Reference 10

Resolution: unresolved; raw_fallback, observed 2026-07-09T22:36:36.596905Z

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Observation 8df638de-3020-45c0-881f-ffe099c62c51 · outbound

This paper cites Differentially Private Federated Learning: A Client Level Perspective.

Robust Federated Learning Under Real-World Client Churn Differentially Private Federated Learning: A Client Level Perspective

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-07-09T22:36:36.205489Z

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Observation 1f90a64b-833d-4b8a-a6d1-23fed077e005 · outbound

This paper cites InProceedings of the Nineteenth European Conference on Computer Systems(2024), pp.

Robust Federated Learning Under Real-World Client Churn InProceedings of the Nineteenth European Conference on Computer Systems(2024), pp

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T22:36:36.602714Z

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Observation 4cee5eb6-2e5f-480c-a962-c4fd1ff67504 · outbound

This paper cites Federated Learning for Mobile Keyboard Prediction.

Robust Federated Learning Under Real-World Client Churn Federated Learning for Mobile Keyboard Prediction

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-07-09T22:36:36.202691Z

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Observation 11540710-0762-484c-a5cd-9461e2ad9590 · outbound

This paper cites FedML: A Research Library and Benchmark for Federated Machine Learning.

Robust Federated Learning Under Real-World Client Churn FedML: A Research Library and Benchmark for Federated Machine Learning

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-07-09T22:36:36.197323Z

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Observation 378c1a96-b554-4d1c-9fe7-28808b97ac4d · outbound

This paper cites an unresolved cited work.

Robust Federated Learning Under Real-World Client Churn Unresolved cited work

Reference 15

Resolution: unresolved; raw_fallback, observed 2026-07-09T22:36:36.593169Z

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Observation ed0b34fc-e2f2-4caf-a946-cd9c66e5b519 · outbound

This paper cites In Uncertainty in Artificial Intelligence(2022), PMLR, pp.

Robust Federated Learning Under Real-World Client Churn In Uncertainty in Artificial Intelligence(2022), PMLR, pp

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T22:36:36.589588Z

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Observation 5ce3e204-29b6-41e1-a618-bfbb169230b9 · outbound

This paper cites B., Avent, B., Bellet, A., Bennis, M., Bhagoji, A.

Robust Federated Learning Under Real-World Client Churn B., Avent, B., Bellet, A., Bennis, M., Bhagoji, A

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T22:36:36.591471Z

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Observation 97f94abd-fdf7-453a-8548-ef2e4af8aa73 · outbound

This paper cites Federated Optimization: Distributed Machine Learning for On-Device Intelligence.

Robust Federated Learning Under Real-World Client Churn Federated Optimization: Distributed Machine Learning for On-Device Intelligence

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-07-09T22:36:36.200127Z

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Observation 4503fdf6-840c-436e-ac3b-b1799068954f · outbound

This paper cites an unresolved cited work.

Robust Federated Learning Under Real-World Client Churn Unresolved cited work

Reference 19

Resolution: unresolved; raw_fallback, observed 2026-07-09T22:36:36.594836Z

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Observation 6ae2799b-8ce1-40fc-af4e-37b17fd1627c · outbound

This paper cites InInternational conference on machine learning(2022), PMLR, pp.

Robust Federated Learning Under Real-World Client Churn InInternational conference on machine learning(2022), PMLR, pp

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T22:36:36.612612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b35f722a-966a-4bd6-b40f-2cd9cedc5ed5 · outbound

This paper cites V., and Chowdhury, M.Oort: Efficient federated learning via guided participant selection.

Robust Federated Learning Under Real-World Client Churn V., and Chowdhury, M.Oort: Efficient federated learning via guided participant selection

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T22:36:36.579273Z

Source-reported events for the cited work

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Observation 139f7a28-9b87-41db-bb1e-32642507c79b · outbound

This paper cites Practical One-Shot Federated Learning for Cross-Silo Setting.

Robust Federated Learning Under Real-World Client Churn Practical One-Shot Federated Learning for Cross-Silo Setting

Reference 22

Resolution: verified exact; local_arxiv, observed 2026-07-09T22:36:36.194437Z

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Observation acc28beb-6033-4e9a-be76-0ea354780948 · outbound

This paper cites K., Talwalkar, A., and Smith, V.Federated learning: Challenges, methods, and future directions.IEEE signal processing magazine 37, 3 (2020), 50–60.

Robust Federated Learning Under Real-World Client Churn K., Talwalkar, A., and Smith, V.Federated learning: Challenges, methods, and future directions.IEEE signal processing magazine 37, 3 (2020), 50–60

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T22:36:36.583293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 989c58d7-6c0c-47b3-8f87-e7194a213ac6 · outbound

This paper cites J., et al.Privacy-preserving federated brain tumour segmentation.

Robust Federated Learning Under Real-World Client Churn J., et al.Privacy-preserving federated brain tumour segmentation

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T22:36:36.573649Z

Source-reported events for the cited work

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Observation 92816ecd-1383-44a4-97ab-c5cf0dbcabe5 · outbound

This paper cites On the Convergence of FedAvg on Non-IID Data.

Robust Federated Learning Under Real-World Client Churn On the Convergence of FedAvg on Non-IID Data

Reference 25

Resolution: verified exact; local_arxiv, observed 2026-07-09T22:36:36.191354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 85e6ccd5-d63b-4d17-bd74-ef0a5030646c · outbound

This paper cites InInternational Conference on Machine Learning (2018), PMLR, pp.

Robust Federated Learning Under Real-World Client Churn InInternational Conference on Machine Learning (2018), PMLR, pp

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T22:36:36.575580Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 03d400a5-2d4c-4242-9ad9-84c3641baa2f · outbound

This paper cites A.Mosquitto: server and client implementation of the mqtt protocol.

Robust Federated Learning Under Real-World Client Churn A.Mosquitto: server and client implementation of the mqtt protocol

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T22:36:36.577462Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 823d3d89-4827-4174-ad70-aac744904d0a · outbound

This paper cites U., and Jaggi, M.Ensemble distillation for robust model fusion in federated learning.Advances in neural information processing systems 33(2020), 2351–2363.

Robust Federated Learning Under Real-World Client Churn U., and Jaggi, M.Ensemble distillation for robust model fusion in federated learning.Advances in neural information processing systems 33(2020), 2351–2363

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T22:36:36.566032Z

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Observation 9571d3dd-c09d-45e0-a234-2e80025c133c · outbound

This paper cites K., Ramezani, H., Wang, F., Chen, Z., Dong, Y., Ding, M., Zhao, Z., Zhang, Z., Wen, E., and Eisenman, A.

Robust Federated Learning Under Real-World Client Churn K., Ramezani, H., Wang, F., Chen, Z., Dong, Y., Ding, M., Zhao, Z., Zhang, Z., Wen, E., and Eisenman, A

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T22:36:36.563742Z

Source-reported events for the cited work

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Observation f772448a-4756-4b59-ac04-c7d08ed3ed06 · outbound

This paper cites an unresolved cited work.

Robust Federated Learning Under Real-World Client Churn Unresolved cited work

Reference 30

Resolution: unresolved; raw_fallback, observed 2026-07-09T22:36:36.571439Z

Source-reported events for the cited work

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Observation 597490ed-5b13-4098-b3ce-2b3216d60413 · outbound

This paper cites In2016 54th Annual Allerton Conference on Communication, Control, and Computing (Allerton)(2016), IEEE, pp.

Robust Federated Learning Under Real-World Client Churn In2016 54th Annual Allerton Conference on Communication, Control, and Computing (Allerton)(2016), IEEE, pp

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T22:36:36.569896Z

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Observation 4d525b08-38d4-44ac-bc50-fe345f0a306f · outbound

This paper cites {CheckFreq}: Frequent,{Fine-Grained} {DNN} checkpointing.

Robust Federated Learning Under Real-World Client Churn {CheckFreq}: Frequent,{Fine-Grained} {DNN} checkpointing

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T22:36:36.571795Z

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Observation 02216052-2949-4245-9319-2795de4bd27c · outbound

This paper cites C., Pham, Q.-V., Pathirana, P.

Robust Federated Learning Under Real-World Client Churn C., Pham, Q.-V., Pathirana, P

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T22:36:36.561955Z

Source-reported events for the cited work

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Observation a69afd9e-c872-4f76-aeac-fc6cfebcb3b0 · outbound

This paper cites In International Conference on Artificial Intelligence and Statistics(2022), PMLR, pp.

Robust Federated Learning Under Real-World Client Churn In International Conference on Artificial Intelligence and Statistics(2022), PMLR, pp

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T22:36:36.558186Z

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Observation 341744da-160f-42ca-942d-edb2499ab620 · outbound

This paper cites InICC 2019-2019 IEEE international conference on communications (ICC)(2019), IEEE, pp.

Robust Federated Learning Under Real-World Client Churn InICC 2019-2019 IEEE international conference on communications (ICC)(2019), IEEE, pp

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T22:36:36.560214Z

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Observation e327d421-3822-468c-8748-a700010dd2da · outbound

This paper cites Federated Adversarial Domain Adaptation.

Robust Federated Learning Under Real-World Client Churn Federated Adversarial Domain Adaptation

Reference 36

Resolution: verified exact; local_arxiv, observed 2026-07-09T22:36:36.179896Z

Source-reported events for the cited work

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Observation f4ca143a-e93f-45cb-abc6-88103318d889 · outbound

This paper cites Adaptive Federated Optimization.

Robust Federated Learning Under Real-World Client Churn Adaptive Federated Optimization

Reference 37

Resolution: verified exact; local_arxiv, observed 2026-07-09T22:36:36.182712Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a5d63199-8ad7-4183-ae08-f14040bb6a22 · outbound

This paper cites FedStale: leveraging stale client updates in federated learning.

Robust Federated Learning Under Real-World Client Churn FedStale: leveraging stale client updates in federated learning

Reference 38

Resolution: verified exact; local_arxiv, observed 2026-07-09T22:36:36.185441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 22dcf299-210b-45b0-bbc4-557d62b2e8d3 · outbound

This paper cites InProceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition(2023), pp.

Robust Federated Learning Under Real-World Client Churn InProceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition(2023), pp

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T22:36:36.613551Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1269da24-074c-4753-bc34-f43b2c6379c7 · outbound

This paper cites In2017 IEEE symposium on security and privacy (SP)(2017), IEEE, pp.

Robust Federated Learning Under Real-World Client Churn In2017 IEEE symposium on security and privacy (SP)(2017), IEEE, pp

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T22:36:36.615324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 305730bb-1598-4eb7-a1f5-2797ff4bf6c3 · outbound

This paper cites In22nd USENIX Symposium on Networked Systems Design and Implementation (NSDI 25)(2025), pp.

Robust Federated Learning Under Real-World Client Churn In22nd USENIX Symposium on Networked Systems Design and Implementation (NSDI 25)(2025), pp

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T22:36:36.617382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d67697e8-41c5-45f9-8e95-5c6c8d3e9407 · outbound

This paper cites T., Felix, X.

Robust Federated Learning Under Real-World Client Churn T., Felix, X

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T22:36:36.605375Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation eae24914-eba8-4e99-b21c-86d8ca81fac8 · outbound

This paper cites an unresolved cited work.

Robust Federated Learning Under Real-World Client Churn Unresolved cited work

Reference 43

Resolution: unresolved; raw_fallback, observed 2026-07-09T22:36:36.607422Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 7f1cfac9-0c21-4bcc-9e2b-88c044fd4e94 · outbound

This paper cites Federated Learning with Matched Averaging.

Robust Federated Learning Under Real-World Client Churn Federated Learning with Matched Averaging

Reference 44

Resolution: verified exact; local_arxiv, observed 2026-07-09T22:36:36.191928Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 248a7358-33f7-4901-8f84-42e93a0a51f3 · outbound

This paper cites an unresolved cited work.

Robust Federated Learning Under Real-World Client Churn Unresolved cited work

Reference 45

Resolution: unresolved; raw_fallback, observed 2026-07-09T22:36:36.611358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 21f5d8ea-9c42-4b79-93d3-3e9bb635b851 · outbound

This paper cites V.Tackling the objective inconsistency problem in heterogeneous federated optimization.Advances in neural information processing systems 33(2020), 7611–7623.

Robust Federated Learning Under Real-World Client Churn V.Tackling the objective inconsistency problem in heterogeneous federated optimization.Advances in neural information processing systems 33(2020), 7611–7623

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T22:36:36.603645Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e70adacb-24e3-4e3d-b896-14f2f8243e62 · outbound

This paper cites E., and W ang, Y.Gemini: Fast failure recovery in distributed training with in-memory checkpoints.

Robust Federated Learning Under Real-World Client Churn E., and W ang, Y.Gemini: Fast failure recovery in distributed training with in-memory checkpoints

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T22:36:36.609422Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 94093adc-6a81-4a60-8a63-4e126311289b · outbound

This paper cites an unresolved cited work.

Robust Federated Learning Under Real-World Client Churn Unresolved cited work

Reference 48

Resolution: unresolved; raw_fallback, observed 2026-07-09T22:36:36.601626Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 57eb0e34-a3c6-4979-8a66-3ed3e88f0fa7 · outbound

This paper cites Asynchronous Federated Optimization.

Robust Federated Learning Under Real-World Client Churn Asynchronous Federated Optimization

Reference 49

Resolution: verified exact; local_arxiv, observed 2026-07-09T22:36:36.194709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c4a96216-0238-49af-b8ad-798a90e24b12 · outbound

This paper cites an unresolved cited work.

Robust Federated Learning Under Real-World Client Churn Unresolved cited work

Reference 50

Resolution: unresolved; raw_fallback, observed 2026-07-09T22:36:36.619591Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1090f0a1-b2c4-48cb-81ee-8c03f4fcac9d · outbound

This paper cites {FwdLLM}: Efficient federated finetuning of large language models with perturbed inferences.

Robust Federated Learning Under Real-World Client Churn {FwdLLM}: Efficient federated finetuning of large language models with perturbed inferences

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T22:36:36.597938Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 2c095830-0150-4fa5-8775-1161d3f5f2da · outbound

This paper cites Federated Learning of Gboard Language Models with Differential Privacy.

Robust Federated Learning Under Real-World Client Churn Federated Learning of Gboard Language Models with Differential Privacy

Reference 52

Resolution: metadata mismatch; local_arxiv, observed 2026-07-09T22:36:36.197635Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 47feac8a-322a-4bc6-bd44-bb4b189bf19f · outbound

This paper cites an unresolved cited work.

Robust Federated Learning Under Real-World Client Churn Unresolved cited work

Reference 53

Resolution: unresolved; raw_fallback, observed 2026-07-09T22:36:36.592263Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 3befaf04-a902-4040-ad32-d1a46bb1e0bc · outbound

This paper cites C., and Tao, D.Heterogeneous federated learning: State-of-the-art and research challenges.ACM Computing Surveys 56, 3 (2023), 1–44.

Robust Federated Learning Under Real-World Client Churn C., and Tao, D.Heterogeneous federated learning: State-of-the-art and research challenges.ACM Computing Surveys 56, 3 (2023), 1–44

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T22:36:36.599930Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 7d4f683c-7a59-48f7-bd8a-ad8ba8c44dc2 · outbound

This paper cites In International conference on machine learning(2019), PMLR, pp.

Robust Federated Learning Under Real-World Client Churn In International conference on machine learning(2019), PMLR, pp

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T22:36:36.579490Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 85e9bab8-0f67-49db-bb55-c9ea0faee112 · outbound

This paper cites InProceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition(2023), pp.

Robust Federated Learning Under Real-World Client Churn InProceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition(2023), pp

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T22:36:36.581586Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f1430319-bcdd-4cce-881d-0aa494d30b9c · outbound

This paper cites IEEE Transactions on Parallel and Distributed Systems 33, 12 (2022), 3291–3305.

Robust Federated Learning Under Real-World Client Churn IEEE Transactions on Parallel and Distributed Systems 33, 12 (2022), 3291–3305

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T22:36:36.583666Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers