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  • title: Flame: Differentially Private Federated Learning in the Shuffle Model
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            Flame: Differentially Private Federated Learning in the Shuffle Model
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            Flame: Differentially Private Federated Learning in the Shuffle Model

            Feb 4, 2021

            Speakers

            RL

            Ruixuan Liu

            Sprecher:in · 0 Follower:innen

            YC

            Yang Cao

            Sprecher:in · 0 Follower:innen

            HC

            Hong Chen

            Sprecher:in · 0 Follower:innen

            Organizer

            A
            A

            AAAI-21

            Konto · 557 Follower:innen

            Categories

            KI und Datenwissenschaft

            Kategorie · 10,8k Präsentationen

            About AAAI-21

            The Thirty-Fifth AAAI Conference on Artificial Intelligence. The purpose of the AAAI conference is to promote research in artificial intelligence (AI) and scientific exchange among AI researchers, practitioners, scientists, and engineers in affiliated disciplines. AAAI-21 will have a diverse technical track, student abstracts, poster sessions, invited speakers, tutorials, workshops, and exhibit and competition programs, all selected according to the highest reviewing standards. AAAI-21 welcomes submissions on mainstream AI topics as well as novel crosscutting work in related areas.

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