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20212026
most citedByzantine-Robust Federated Learning via Credibility Assessment on Non-IID Data

2 citations · 2 across the 7 of their papers we have counts for

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cs.LG2024

FedCAda: Adaptive Client-Side Optimization for Accelerated and Stable Federated Learning

Liuzhi Zhou, Yu He, Kun Zhai +6

Federated learning (FL) has emerged as a prominent approach for collaborative training of machine learning models across distributed clients while preserving data privacy. However,…

cs.LG2024

FedEGG: Federated Learning with Explicit Global Guidance

Kun Zhai, Yifeng Gao, Difan Zou +4

Federated Learning (FL) holds great potential for diverse applications owing to its privacy-preserving nature. However, its convergence is often challenged by non-IID data distribu…