Next
Livestream will start soon!
Livestream has already ended.
Presentation has not been recorded yet!
  • title: Personalized Federated Learning with First Order Model Optimization
      0:00 / 0:00
      • Report Issue
      • Settings
      • Playlists
      • Bookmarks
      • Subtitles Off
      • Playback rate
      • Quality
      • Settings
      • Debug information
      • Server sl-yoda-v2-stream-008-alpha.b-cdn.net
      • Subtitles size Medium
      • Bookmarks
      • Server
      • sl-yoda-v2-stream-008-alpha.b-cdn.net
      • sl-yoda-v2-stream-008-beta.b-cdn.net
      • 1159783934.rsc.cdn77.org
      • 1511376917.rsc.cdn77.org
      • Subtitles
      • Off
      • English
      • Playback rate
      • Quality
      • Subtitles size
      • Large
      • Medium
      • Small
      • Mode
      • Video Slideshow
      • Audio Slideshow
      • Slideshow
      • Video
      My playlists
        Bookmarks
          00:00:00
            Personalized Federated Learning with First Order Model Optimization
            • Settings
            • Sync diff
            • Quality
            • Settings
            • Server
            • Quality
            • Server

            Personalized Federated Learning with First Order Model Optimization

            May 3, 2021

            Speakers

            MJZ

            Michael J.Q. Zhang

            Speaker · 0 followers

            KS

            Karan Sapra

            Speaker · 0 followers

            SF

            Sanja Fidler

            Speaker · 2 followers

            About

            While federated learning traditionally aims to train a single global model across decentralized local datasets, one model may not always be ideal for all participating clients. Here we propose an alternative, where each client only federates with other relevant clients to obtain a stronger model per client-specific objectives. To achieve this personalization, rather than computing a single model average with constant weights for the entire federation as in traditional FL, we efficiently calculat…

            Organizer

            I2
            I2

            ICLR 2021

            Account · 899 followers

            Categories

            AI & Data Science

            Category · 10.8k presentations

            About ICLR 2021

            The International Conference on Learning Representations (ICLR) is the premier gathering of professionals dedicated to the advancement of the branch of artificial intelligence called representation learning, but generally referred to as deep learning. ICLR is globally renowned for presenting and publishing cutting-edge research on all aspects of deep learning used in the fields of artificial intelligence, statistics and data science, as well as important application areas such as machine vision, computational biology, speech recognition, text understanding, gaming, and robotics.

            Like the format? Trust SlidesLive to capture your next event!

            Professional recording and live streaming, delivered globally.

            Sharing

            Recommended Videos

            Presentations on similar topic, category or speaker

            PatchGuard++: Efficient Provable Attack Detection against Adversarial Patches
            03:15

            PatchGuard++: Efficient Provable Attack Detection against Adversarial Patches

            Chong Xiang, …

            I2
            I2
            ICLR 2021 4 years ago

            Total of 0 viewers voted for saving the presentation to eternal vault which is 0.0%

            Ditto: Fair and Robust Federated Learning Through Personalization
            03:13

            Ditto: Fair and Robust Federated Learning Through Personalization

            Tian Li, …

            I2
            I2
            ICLR 2021 4 years ago

            Total of 0 viewers voted for saving the presentation to eternal vault which is 0.0%

            Oral Session 7
            3:34:46

            Oral Session 7

            I2
            I2
            ICLR 2021 4 years ago

            Total of 0 viewers voted for saving the presentation to eternal vault which is 0.0%

            Capturing Label Characteristics in VAEs
            05:35

            Capturing Label Characteristics in VAEs

            Tom Joy, …

            I2
            I2
            ICLR 2021 4 years ago

            Total of 0 viewers voted for saving the presentation to eternal vault which is 0.0%

            Effective and Efficient Vote Attack on Capsule Networks
            04:56

            Effective and Efficient Vote Attack on Capsule Networks

            Jindong Gu, …

            I2
            I2
            ICLR 2021 4 years ago

            Total of 0 viewers voted for saving the presentation to eternal vault which is 0.0%

            Self-training For Few-shot Transfer Across Extreme Task Differences
            12:21

            Self-training For Few-shot Transfer Across Extreme Task Differences

            Cheng Phoo, …

            I2
            I2
            ICLR 2021 4 years ago

            Total of 0 viewers voted for saving the presentation to eternal vault which is 0.0%

            Interested in talks like this? Follow ICLR 2021