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A Decentralized Framework for Biostatistics and Privacy Concerns.

, , , , , , and . EFMI-STC, volume 275 of Studies in Health Technology and Informatics, page 137-141. IOS Press, (2020)

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A Decentralized Framework for Biostatistics and Privacy Concerns., , , , , , and . EFMI-STC, volume 275 of Studies in Health Technology and Informatics, page 137-141. IOS Press, (2020)Differential Privacy has Bounded Impact on Fairness in Classification., , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 23681-23705. PMLR, (2023)Specifications for the Routine Implementation of Federated Learning in Hospitals Networks., , , , , and . MIE, volume 281 of Studies in Health Technology and Informatics, page 128-132. IOS Press, (2021)FLamby: Datasets and Benchmarks for Cross-Silo Federated Learning in Realistic Healthcare Settings., , , , , , , , , and 14 other author(s). NeurIPS, (2022)Differentially Private Coordinate Descent for Composite Empirical Risk Minimization., , , and . ICML, volume 162 of Proceedings of Machine Learning Research, page 14948-14978. PMLR, (2022)High-Dimensional Private Empirical Risk Minimization by Greedy Coordinate Descent., , , and . AISTATS, volume 206 of Proceedings of Machine Learning Research, page 4894-4916. PMLR, (2023)Exploiting Problem Structure in Privacy-Preserving Optimization and Machine Learning. (Exploitation de la Structure des Problèmes en Optimisation et en Apprentissage Automatique Respectueux de la Vie Privée).. University of Lille, France, (2023)High-Dimensional Private Empirical Risk Minimization by Greedy Coordinate Descent., , , and . CoRR, (2022)The Relative Gaussian Mechanism and its Application to Private Gradient Descent., , and . AISTATS, volume 238 of Proceedings of Machine Learning Research, page 3079-3087. PMLR, (2024)