Privacy-Aware Compression for Federated Learning
From Google TechTalks · 39:53
Show by Google TechTalks
A Google TechTalk, presented by Kamalika Chaudhuri, 2022/11/10.Presented at the 2022 Workshop on Federated Learning and Analytics.Uploaded 18-01-23About the speaker:Kamalika Chaudhuri is a professor in the Computer Science and Engineering department at UC San Diego, and a research scientist at Meta AI. She received a Bachelor of Technology degree in Computer Science and Engineering in 2002 from Indian Institute of Technology, Kanpur, and a PhD in Computer Science from University of California at Berkeley in 2007. After a postdoc at the Information Theory and Applications Center at UC San Diego, she joined the CSE department at UC San Diego as an assistant professor. She received an NSF CAREER Award in 2013 and a Hellman Faculty Fellowship in 2012.
More episodes of Google TechTalks
More episodes
- Threat Models for Memorization: Privacy, Copyright, and Everything In-Between
- Technology Assisted Reading Acquisition: Children Acquiring Literacy Naturally
- sex on the internet, the realities of porn, sexual privacy,
- Privacy Auditing of Large Language Models
- The Limits and Possibilities of One Run Auditing
- PhotoTechEDU Day 29: Photographing VR Panoramas
- Privacy Ripple Effects from Adding or Removing Personal Information in Language Model Training
- Inside VMware Fusion
- Java Posse Episode 100 (Live Special)
- Cascading Adversarial Bias from Injection to Distillation in Language Models
PodSearch is a free, independent podcast search engine. Read about PodSearch, the privacy policy or contact us.