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  • title: Defending against Backdoors in Federated Learning with Robust Learning Rate
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            Defending against Backdoors in Federated Learning with Robust Learning Rate
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            Defending against Backdoors in Federated Learning with Robust Learning Rate

            Feb 4, 2021

            Speakers

            MSO

            Mustafa Safa Ozdayi

            Sprecher:in · 0 Follower:innen

            MK

            Murat Kantarcioglu

            Sprecher:in · 0 Follower:innen

            YRG

            Yulia R. Gel

            Sprecher:in · 0 Follower:innen

            Organizer

            A
            A

            AAAI-21

            Konto · 557 Follower:innen

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            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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