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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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Learning Fair Scoring Functions: Fairness Definitions, Algorithms and Generalization Bounds for Bipartite Ranking., , и . CoRR, (2020)Privacy Amplification by Decentralization., и . CoRR, (2020)Evaluating Voice Conversion-Based Privacy Protection against Informed Attackers., , , , , и . ICASSP, стр. 2802-2806. IEEE, (2020)D-Cliques: Compensating for Data Heterogeneity with Topology in Decentralized Federated Learning., , и . SRDS, стр. 1-11. IEEE, (2022)Federated Multi-Task Learning under a Mixture of Distributions., , , , и . NeurIPS, стр. 15434-15447. (2021)Fair Without Leveling Down: A New Intersectional Fairness Definition., , , и . EMNLP, стр. 9018-9032. Association for Computational Linguistics, (2023)Differentially Private Federated Learning on Heterogeneous Data., , и . AISTATS, том 151 из Proceedings of Machine Learning Research, стр. 10110-10145. PMLR, (2022)Refined Convergence and Topology Learning for Decentralized SGD with Heterogeneous Data., , , , и . AISTATS, том 206 из Proceedings of Machine Learning Research, стр. 1672-1702. PMLR, (2023)How to Capture Intersectional Fairness., , , и . CoRR, (2023)PEPPER: Empowering User-Centric Recommender Systems over Gossip Learning., , , и . CoRR, (2022)