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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

            Sprecher:innen

            MSO

            Mustafa Safa Ozdayi

            Speaker · 0 followers

            MK

            Murat Kantarcioglu

            Speaker · 0 followers

            YRG

            Yulia R. Gel

            Speaker · 0 followers

            Organisator

            A
            A

            AAAI-21

            Account · 557 followers

            Kategorien

            AI & Data Science

            Category · 10.8k presentations

            Über 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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