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• Federated Learning of a Mixture of Global and Local Models
  2020 · 242 citations
• A Field Guide to Federated Optimization
  2021 · 167 citations
• Optimal Client Sampling for Federated Learning
  2020 · 96 citations
• First Analysis of Local GD on Heterogeneous Data
  2019 · 67 citations
• Acceleration for Compressed Gradient Descent in Distributed and Federated Optimization
  2020 · 37 citations
• A Better Alternative to Error Feedback for Communication-Efficient Distributed Learning
  2020 · 20 citations
• Gradient Descent with Compressed Iterates
  2019 · 12 citations
• FedNL: Making Newton-Type Methods Applicable to Federated Learning
  2021 · 12 citations
• ProxSkip: Yes! Local Gradient Steps Provably Lead to Communication Acceleration! Finally!