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CSER: Communication-efficient SGD with Error Reset
[article]
2020
arXiv
pre-print
The scalability of Distributed Stochastic Gradient Descent (SGD) is today limited by communication bottlenecks. We propose a novel SGD variant: Communication-efficient SGD with Error Reset, or CSER. The key idea in CSER is first a new technique called "error reset" that adapts arbitrary compressors for SGD, producing bifurcated local models with periodic reset of resulting local residual errors. Second we introduce partial synchronization for both the gradients and the models, leveraging
arXiv:2007.13221v3
fatcat:33pwl63teze7pbvm3uqppbb6nu