← authors · overview

• A Field Guide to Federated Optimization
  2021 · 167 citations
• Shuffled Model of Federated Learning: Privacy, Communication and Accuracy Trade-offs
  2020 · 7 citations
• Renyi Differential Privacy of the Subsampled Shuffle Model in Distributed Learning
  2021 · 5 citations
• QuPeD: Quantized Personalization via Distillation with Applications to Federated Learning
  2021 · 5 citations
• QuPeL: Quantized Personalization with Applications to Federated Learning
  2021 · 2 citations
• A Generative Framework for Personalized Learning and Estimation: Theory, Algorithms, and Privacy
  2022 · 2 citations
• Byzantine-Resilient High-Dimensional Federated Learning
  2020 · 1 citations
• SPIRE: Conditional Personalization for Federated Diffusion Generative Models
  2025
• Robust Federated Personalised Mean Estimation for the Gaussian Mixture Model
  2025
• ADEPT: Hierarchical Bayes Approach to Personalized Federated Unsupervised Learning
  2024
• Multi-Message Shuffled Privacy in Federated Learning
  2023