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On The Impact of Client Sampling on Federated Learning Convergence.

, , , и . CoRR, (2021)

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Georgios Yannis

Christos Yannissis

Yann Malato

Role of the IKK complex during liver regeneration: analysis of the differential role of IKKβ/IKK2 IKKbeta/IKK2 and IKKγ/Nemo IKKgamma/Nemo during liver regeneration. TU Aachen, (2009)

Theodoros Yannacopoulos

Anastasia Yannacopoulou

 

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A General Theory for Federated Optimization with Asynchronous and Heterogeneous Clients Updates., , , и . J. Mach. Learn. Res., (2023)On The Impact of Client Sampling on Federated Learning Convergence., , , и . 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., , , и . FL@IJCAI, том 13448 из Lecture Notes in Computer Science, стр. 46-58. Springer, (2022)Clustered Sampling: Low-Variance and Improved Representativity for Clients Selection in Federated Learning., , , и . ICML, том 139 из Proceedings of Machine Learning Research, стр. 3407-3416. PMLR, (2021)Free-rider Attacks on Model Aggregation in Federated Learning., , и . AISTATS, том 130 из Proceedings of Machine Learning Research, стр. 1846-1854. PMLR, (2021)Validation of Federated Unlearning on Collaborative Prostate Segmentation., , , , , , и . ISIC/Care-AI/MedAGI/DeCaF@MICCAI, том 14393 из Lecture Notes in Computer Science, стр. 322-333. Springer, (2023)SIFU: Sequential Informed Federated Unlearning for Efficient and Provable Client Unlearning in Federated Optimization., , , , , и . AISTATS, том 238 из Proceedings of Machine Learning Research, стр. 3457-3465. PMLR, (2024)