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• MARINA: Faster Non-Convex Distributed Learning with Compression
  2021 · 15 citations
• Local SGD: Unified Theory and New Efficient Methods
  2020 · 10 citations
• Variance Reduction is an Antidote to Byzantines: Better Rates, Weaker Assumptions and Communication Compression as a Cherry on the Top
  2022 · 5 citations
• Moshpit SGD: Communication-Efficient Decentralized Training on Heterogeneous Unreliable Devices
  2021 · 3 citations
• Federated Optimization Algorithms with Random Reshuffling and Gradient Compression
  2022 · 2 citations
• Partially Personalized Federated Learning: Breaking the Curse of Data Heterogeneity
  2023 · 1 citations
• Communication Compression for Byzantine Robust Learning: New Efficient Algorithms and Improved Rates
  2023 · 1 citations
• Double Momentum and Error Feedback for Clipping with Fast Rates and Differential Privacy
  2025
• Methods with Local Steps and Random Reshuffling for Generally Smooth Non-Convex Federated Optimization
  2024
• Federated Learning Can Find Friends That Are Advantageous
  2024
• Low-Resource Machine Translation through the Lens of Personalized Federated Learning
  2024