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• A Field Guide to Federated Optimization
  2021 · 167 citations
• Adaptive Federated Optimization
  2020 · 128 citations
• Local Adaptivity in Federated Learning: Convergence and Consistency
  2021 · 21 citations
• On the Outsized Importance of Learning Rates in Local Update Methods
  2020 · 20 citations
• Motley: Benchmarking Heterogeneity and Personalization in Federated Learning
  2022 · 13 citations
• Convergence and Accuracy Trade-Offs in Federated Learning and Meta-Learning
  2021 · 7 citations
• On Large-Cohort Training for Federated Learning
  2021 · 3 citations
• Federated Select: A Primitive for Communication- and Memory-Efficient Federated Learning
  2022 · 3 citations
• Towards Federated Foundation Models: Scalable Dataset Pipelines for Group-Structured Learning
  2023 · 3 citations
• Gradient Descent with Linearly Correlated Noise: Theory and Applications to Differential Privacy
  2023 · 1 citations
• Iterated Vector Fields and Conservatism, with Applications to Federated Learning
  2021
• Optimizing the Communication-Accuracy Trade-off in Federated Learning with Rate-Distortion Theory
  2022
• Federated Automatic Differentiation
  2023
• Leveraging Function Space Aggregation for Federated Learning at Scale
  2023