A Continuous-Time Analysis of Distributed Stochastic Gradient
© 2019 Massachusetts Institute of Technology. We analyze the effect of synchronization on distributed stochastic gradient algorithms. By exploiting an analogy with dynamical models of biological quorum sensing, where synchronization between agents is induced through communication with a common signa...
Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
MIT Press - Journals
2021
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Online Access: | https://hdl.handle.net/1721.1/136586 |