BriefGPT.xyz
Dec, 2019
合作设备的联邦学习: 大规模物联网网络的共识方法
Federated Learning with Cooperating Devices: A Consensus Approach for Massive IoT Networks
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Stefano Savazzi, Monica Nicoli, Vittorio Rampa
TL;DR
这篇论文介绍了一种完全分布式的联邦学习算法,该算法的优点在于避免了数据披露并具有扩展性商用前景,可以在包括物联网设备在内的网络中使用。
Abstract
federated learning
(FL) is emerging as a new paradigm to train machine learning models in
distributed systems
. Rather than sharing, and disclosing, the training dataset with the server, the model parameters (e.g.
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