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Federated Learning for Data Streams.

, , , и . AISTATS, том 206 из Proceedings of Machine Learning Research, стр. 8889-8924. PMLR, (2023)

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Othmane Aouane

 

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A Cautionary Tale: On the Role of Reference Data in Empirical Privacy Defenses., , , , и . CoRR, (2023)FLamby: Datasets and Benchmarks for Cross-Silo Federated Learning in Realistic Healthcare Settings., , , , , , , , , и 14 other автор(ы). NeurIPS, (2022)Federated Learning under Heterogeneous and Correlated Client Availability., , , , и . INFOCOM, стр. 1-10. IEEE, (2023)Personalized Federated Learning through Local Memorization., , , и . ICML, том 162 из Proceedings of Machine Learning Research, стр. 15070-15092. PMLR, (2022)Throughput-Optimal Topology Design for Cross-Silo Federated Learning., , , и . NeurIPS, (2020)Count-Min Sketch with Conservative Updates: Worst-Case Analysis., и . CoRR, (2024)Federated Multi-Task Learning under a Mixture of Distributions., , , , и . NeurIPS, стр. 15434-15447. (2021)Federated Learning for Data Streams., , , и . AISTATS, том 206 из Proceedings of Machine Learning Research, стр. 8889-8924. PMLR, (2023)Tackling heterogeneity in federated learning systems. (Surmonter l'hétérogénéité dans les systèmes d'apprentissage fédéré).. Côte d'Azur University, Nice, France, (2023)