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• FLamby: Datasets and Benchmarks for Cross-Silo Federated Learning in Realistic Healthcare Settings
  2022 · 53 citations
• Clustered Sampling: Low-Variance and Improved Representativity for Clients Selection in Federated Learning
  2021 · 47 citations
• Free-rider Attacks on Model Aggregation in Federated Learning
  2020 · 12 citations
• A General Theory for Federated Optimization with Asynchronous and Heterogeneous Clients Updates
  2022 · 11 citations
• SIFU: Sequential Informed Federated Unlearning for Efficient and Provable Client Unlearning in Federated Optimization
  2022 · 4 citations
• A Differentially Private Probabilistic Framework for Modeling the Variability Across Federated Datasets of Heterogeneous Multi-View Observations
  2022 · 3 citations
• Benchmarking Collaborative Learning Methods Cost-Effectiveness for Prostate Segmentation
  2023 · 1 citations
• A Technical Policy Blueprint for Trustworthy Decentralized AI
  2025
• Federated Learning in Distributed Medical Databases: Meta-Analysis of Large-Scale Subcortical Brain Data
  2018
• A General Theory for Client Sampling in Federated Learning
  2021
• A cautionary tale on the cost-effectiveness of collaborative AI in real-world medical applications
  2024