Communication-Efficient Distributed SGD with Compressed Sensing
Yujie Tang,
Vikram Ramanathan,
Junshan Zhang
et al.
Abstract:We consider large scale distributed optimization over a set of edge devices connected to a central server, where the limited communication bandwidth between the server and edge devices imposes a significant bottleneck for the optimization procedure. Inspired by recent advances in federated learning, we propose a distributed stochastic gradient descent (SGD) type algorithm that exploits the sparsity of the gradient, when possible, to reduce communication burden. At the heart of the algorithm is to use compresse… Show more
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