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On The Impact of Client Sampling on Federated Learning Convergence., , , and . CoRR, (2021)Reliability and robustness of federated learning in practical applications. (Fiabilité et robustesse de l'apprentissage fédéré pour applications concrètes).. Côte d'Azur University, Nice, France, (2023)A General Theory for Client Sampling in Federated Learning., , , and . FL@IJCAI, volume 13448 of Lecture Notes in Computer Science, page 46-58. Springer, (2022)Validation of Federated Unlearning on Collaborative Prostate Segmentation., , , , , , and . ISIC/Care-AI/MedAGI/DeCaF@MICCAI, volume 14393 of Lecture Notes in Computer Science, page 322-333. Springer, (2023)Free-rider Attacks on Model Aggregation in Federated Learning., , and . AISTATS, volume 130 of Proceedings of Machine Learning Research, page 1846-1854. PMLR, (2021)Clustered Sampling: Low-Variance and Improved Representativity for Clients Selection in Federated Learning., , , and . ICML, volume 139 of Proceedings of Machine Learning Research, page 3407-3416. PMLR, (2021)SIFU: Sequential Informed Federated Unlearning for Efficient and Provable Client Unlearning in Federated Optimization., , , , , and . AISTATS, volume 238 of Proceedings of Machine Learning Research, page 3457-3465. PMLR, (2024)