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• Communication-Efficient Learning of Deep Networks from Decentralized Data
  2016 · 5630 citations
• Federated Learning: Strategies for Improving Communication Efficiency
  2016 · 3050 citations
• Federated Optimization: Distributed Machine Learning for On-Device Intelligence
  2016 · 1655 citations
• Towards Federated Learning at Scale: System Design
  2019 · 958 citations
• Learning Differentially Private Recurrent Language Models
  2017 · 671 citations
• LEAF: A Benchmark for Federated Settings
  2018 · 285 citations
• Practical Secure Aggregation for Federated Learning on User-Held Data
  2016 · 190 citations
• cpSGD: Communication-efficient and differentially-private distributed SGD
  2018 · 184 citations
• A Field Guide to Federated Optimization
  2021 · 167 citations
• Expanding the Reach of Federated Learning by Reducing Client Resource Requirements
  2018 · 158 citations
• Distributed Mean Estimation with Limited Communication
  2016 · 149 citations
• Adaptive Federated Optimization
  2020 · 128 citations
• Differentially Private Learning with Adaptive Clipping
  2019 · 89 citations
• Is Local SGD Better than Minibatch SGD?
  2020 · 45 citations
• Generative Models for Effective ML on Private, Decentralized Datasets
  2019 · 43 citations