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Green Federated Learning
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Yousefpour, Ashkan
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Guo, Shen
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Shenoy, Ashish
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Ghosh, Sayan
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Stock, Pierre
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Maeng, Kiwan
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Reconciling Security and Communication Efficiency in Federated Learning
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Prasad, Karthik
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Ghosh, Sayan
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Cormode, Graham
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Mironov, Ilya
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Stock, Pierre
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FEL: High Capacity Learning for Recommendation and Ranking via Federated Ensemble Learning
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Hejazinia, Meisam
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Huba, Dzmitry
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Leontiadis, Ilias
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Maeng, Kiwan
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Malek, Mani
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Melis, Luca
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Nasr, Milad
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Wang, Kaikai
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Defending against Reconstruction Attacks with R\'enyi Differential Privacy
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Shilov, Igor
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Opacus: User-Friendly Differential Privacy Library in PyTorch
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Yousefpour, Ashkan
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Shilov, Igor
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Sablayrolles, Alexandre
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Testuggine, Davide
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Prasad, Karthik
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Malek, Mani
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Nguyen, John
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Data Collection with Self-Enforcing Privacy
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ACM Transactions on Information and System Security; 20240101, Issue: Preprints p1-24, 24p
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Privacy Amplification by Iteration
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Feldman, Vitaly
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Mironov, Ilya
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Talwar, Kunal
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Thakurta, Abhradeep
2018 IEEE 59th Annual Symposium on Foundations of Computer Science (FOCS) FOCS Foundations of Computer Science (FOCS), 2018 IEEE 59th Annual Symposium on. :521-532 Oct, 2018
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Antipodes of Label Differential Privacy: PATE and ALIBI
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Malek, Mani
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Mironov, Ilya
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Tramèr, Florian
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Wide Network Learning with Differential Privacy
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Cryptanalytic Extraction of Neural Network Models
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