← authors · overview

• Federated Optimization in Heterogeneous Networks
  2018 · 452 citations
• Fair Resource Allocation in Federated Learning
  2019 · 356 citations
• Ditto: Fair and Robust Federated Learning Through Personalization
  2020 · 219 citations
• A Field Guide to Federated Optimization
  2021 · 167 citations
• One-Shot Federated Learning
  2019 · 139 citations
• Federated Multi-Task Learning
  2017 · 115 citations
• Privacy for Free: Communication-Efficient Learning with Differential Privacy Using Sketches
  2019 · 40 citations
• Enhancing the Privacy of Federated Learning with Sketching
  2019 · 23 citations
• Heterogeneity for the Win: One-Shot Federated Clustering
  2021 · 21 citations
• On Privacy and Personalization in Cross-Silo Federated Learning
  2022 · 20 citations
• Motley: Benchmarking Heterogeneity and Personalization in Federated Learning
  2022 · 13 citations
• Federated Hyperparameter Tuning: Challenges, Baselines, and Connections to Weight-Sharing
  2021 · 12 citations
• FedDANE: A Federated Newton-Type Method
  2020 · 8 citations
• Private Multi-Task Learning: Formulation and Applications to Federated Learning
  2021 · 4 citations
• Maximizing Global Model Appeal in Federated Learning
  2022 · 4 citations