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Jia-Cheng Cheng

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#machine learning Preprint Sep 2026

Communication-Efficient Personalized Federated Learning via Layer-Wise Multi-Threshold Random Sketching

This work proposes a communication-efficient PFL framework via layer-wise multi-threshold random sketching that supports bidirectional communication using compact low-bit sketches and improves the communication-accuracy tradeoff compared with existing one-bit compression approaches.

Xu Zhang, Xing-Yu Hou, Jia-Cheng Cheng et al. · 0 citations