Robust Federated Learning with Noisy Communication

1 Nov 2019Fan AngLi ChenNan ZhaoYunfei ChenWeidong WangF. Richard Yu

Federated learning is a communication-efficient training process that alternates between local training at the edge devices and averaging the updated local model at the central server. Nevertheless, it is impractical to achieve a perfect acquisition of the local models in wireless communication due to noise, which also brings serious effects on federated learning... (read more)

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