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• Acceleration for Compressed Gradient Descent in Distributed and Federated Optimization
  2020 · 37 citations
• A Unified Analysis of Stochastic Gradient Methods for Nonconvex Federated Optimization
  2020 · 24 citations
• MARINA: Faster Non-Convex Distributed Learning with Compression
  2021 · 15 citations
• SoteriaFL: A Unified Framework for Private Federated Learning with Communication Compression
  2022 · 10 citations
• FedPAGE: A Fast Local Stochastic Gradient Method for Communication-Efficient Federated Learning
  2021 · 8 citations
• CANITA: Faster Rates for Distributed Convex Optimization with Communication Compression
  2021 · 6 citations
• BEER: Fast $O(1/T)$ Rate for Decentralized Nonconvex Optimization with Communication Compression
  2022 · 6 citations
• Coresets for Vertical Federated Learning: Regularized Linear Regression and $K$-Means Clustering
  2022 · 4 citations
• DESTRESS: Computation-Optimal and Communication-Efficient Decentralized Nonconvex Finite-Sum Optimization
  2021 · 3 citations
• Faster Rates for Compressed Federated Learning with Client-Variance Reduction
  2021 · 1 citations
• Escaping Saddle Points in Heterogeneous Federated Learning via Distributed SGD with Communication Compression
  2023