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Consensus Control for Decentralized Deep Learning
Decentralized training of deep learning models enables on-device learnin...
02/09/2021 ∙ by Lingjing Kong, et al. ∙
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A Linearly Convergent Algorithm for Decentralized Optimization: Sending Less Bits for Free!
Decentralized optimization methods enable on-device training of machine ...
11/03/2020 ∙ by Dmitry Kovalev, et al. ∙
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A Unified Theory of Decentralized SGD with Changing Topology and Local Updates
Decentralized stochastic optimization methods have gained a lot of atten...
03/23/2020 ∙ by Anastasia Koloskova, et al. ∙
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Decentralized Deep Learning with Arbitrary Communication Compression
Decentralized training of deep learning models is a key element for enab...
07/22/2019 ∙ by Anastasia Koloskova, et al. ∙
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Decentralized Stochastic Optimization and Gossip Algorithms with Compressed Communication
We consider decentralized stochastic optimization with the objective fun...
02/01/2019 ∙ by Anastasia Koloskova, et al. ∙
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Efficient Greedy Coordinate Descent for Composite Problems
Coordinate descent with random coordinate selection is the current state...
10/16/2018 ∙ by Sai Praneeth Karimireddy, et al. ∙
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