Towards Efficient Scheduling of Federated Mobile Devices under Computational and Statistical Heterogeneity

25 May 2020Cong WangYuanyuan YangPengzhan Zhou

Originated from distributed learning, federated learning enables privacy-preserved collaboration on a new abstracted level by sharing the model parameters only. While the current research mainly focuses on optimizing learning algorithms and minimizing communication overhead left by distributed learning, there is still a considerable gap when it comes to the real implementation on mobile devices... (read more)

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