Dynamic Sampling and Selective Masking for Communication-Efficient Federated Learning

21 Mar 2020Shaoxiong JiWenqi JiangAnwar WalidXue Li

Federated learning (FL) is a novel machine learning setting which enables on-device intelligence via decentralized training and federated optimization. The rapid development of deep neural networks facilitates the learning techniques for modeling complex problems and emerges into federated deep learning under the federated setting... (read more)

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