【联邦学习】Communication-Efficient Learning of Deep Networks from Decentralized Data 论文阅读笔记

FL的提出：
We advocate an alternative that leaves the training data distributed on
the mobile devices, and learns a shared model by aggregating locally-computed updates. We term this decentralized approach Federated Learning.
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