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06/28/2023
Towards a Better Theoretical Understanding of Independent Subnetwork Training
Modern advancements in large-scale machine learning would be impossible ...
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06/21/2022
Shifted Compression Framework: Generalizations and Improvements
Communication is one of the key bottlenecks in the distributed training ...
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06/06/2022
Certified Robustness in Federated Learning
Federated learning has recently gained significant attention and popular...
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02/18/2021
ADOM: Accelerated Decentralized Optimization Method for Time-Varying Networks
We propose ADOM - an accelerated method for smooth and strongly convex d...
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02/20/2020
Uncertainty Principle for Communication Compression in Distributed and Federated Learning and the Search for an Optimal Compressor
In order to mitigate the high communication cost in distributed and fede...
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05/27/2019
Revisiting Stochastic Extragradient
We consider a new extension of the extragradient method that is motivate...
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01/27/2019
