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cs.LG2021
Optimal Rate Adaption in Federated Learning with Compressed Communications
Laizhong Cui, Xiaoxin Su, Yipeng Zhou +1
Federated Learning (FL) incurs high communication overhead, which can be greatly alleviated by compression for model updates. Yet the tradeoff between compression and model accurac…
cs.LG2021★ 1 cited
Slashing Communication Traffic in Federated Learning by Transmitting Clustered Model Updates
Laizhong Cui, Xiaoxin Su, Yipeng Zhou +1
Federated Learning (FL) is an emerging decentralized learning framework through which multiple clients can collaboratively train a learning model. However, a major obstacle that im…