Original paper
Decentralized Federated Learning via SGD over Wireless D2D Networks
Published: May 1, 2020
Abstract
Federated Learning (FL), an emerging paradigm for fast intelligent acquisition at the network edge, enables joint training of a machine learning model over distributed data sets and computing resources with limited disclosure of local data. Communication is a critical enabler of large-scale FL due to significant amount of model information exchanged among edge devices. In this paper, we consider a network of wireless devices sharing a common...
Paper Details
Title
Decentralized Federated Learning via SGD over Wireless D2D Networks
Published Date
May 1, 2020
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