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  • title: Curse or Redemption? How Data Heterogeneity Affects the Robustness of Federated Learning
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            Curse or Redemption? How Data Heterogeneity Affects the Robustness of Federated Learning
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            Curse or Redemption? How Data Heterogeneity Affects the Robustness of Federated Learning

            Feb 4, 2021

            Speakers

            SZ

            Syed Zawad

            Speaker · 0 followers

            AA

            Ahsan Ali

            Speaker · 0 followers

            PC

            Pin-Yu Chen

            Speaker · 3 followers

            Organizer

            A
            A

            AAAI-21

            Account · 557 followers

            Categories

            AI & Data Science

            Category · 10.8k presentations

            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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