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cs.LG2022
Shifted Compression Framework: Generalizations and Improvements
Egor Shulgin, Peter Richtárik
Communication is one of the key bottlenecks in the distributed training of large-scale machine learning models, and lossy compression of exchanged information, such as stochastic g…
cs.LG2022★ 1 cited
Certified Robustness in Federated Learning
Motasem Alfarra, Juan C. Pérez, Egor Shulgin +2
Federated learning has recently gained significant attention and popularity due to its effectiveness in training machine learning models on distributed data privately. However, as…