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Muffliato: Peer-to-Peer Privacy Amplification for Decentralized Optimization and Averaging.

, , , и . NeurIPS, (2022)

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Aurélien Bellet

Aurélien Carlier

Aurélien Leroux

Aurélien Thierry

Aurélien Wailly

 

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Federated Multi-Task Learning under a Mixture of Distributions., , , , и . NeurIPS, стр. 15434-15447. (2021)D-Cliques: Compensating for Data Heterogeneity with Topology in Decentralized Federated Learning., , и . SRDS, стр. 1-11. IEEE, (2022)Fair Without Leveling Down: A New Intersectional Fairness Definition., , , и . EMNLP, стр. 9018-9032. Association for Computational Linguistics, (2023)Evaluating Voice Conversion-Based Privacy Protection against Informed Attackers., , , , , и . ICASSP, стр. 2802-2806. IEEE, (2020)metric-learn: Metric Learning Algorithms in Python., , , , и . J. Mach. Learn. Res., (2020)Privacy Amplification by Decentralization., и . CoRR, (2020)Learning Fair Scoring Functions: Fairness Definitions, Algorithms and Generalization Bounds for Bipartite Ranking., , и . CoRR, (2020)Collaborative Algorithms for Online Personalized Mean Estimation., , , и . CoRR, (2022)Fair NLP Models with Differentially Private Text Encoders., , , и . EMNLP (Findings), стр. 6913-6930. Association for Computational Linguistics, (2022)Advances and Open Problems in Federated Learning., , , , , , , , , и 49 other автор(ы). Found. Trends Mach. Learn., 14 (1-2): 1-210 (2021)