"Towards Fair, Robust and Efficient Client Contribution Evaluation in ..."

Meiying Zhang et al. (2024)

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DOI: 10.48550/ARXIV.2402.04409

access: open

type: Informal or Other Publication

metadata version: 2024-02-14

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  - https://dblp.org/rec/journals/corr/abs-2402-04409
Meiying Zhang, Huan Zhao, Sheldon C. Ebron Jr., Kan Yang:
Towards Fair, Robust and Efficient Client Contribution Evaluation in Federated Learning. CoRR abs/2402.04409 (2024)

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