Survey on Privacy and Security in Federated Learning
Offered By: Simons Institute via YouTube
Course Description
Overview
Explore a comprehensive survey on privacy and security challenges in Federated Learning (FL) presented by Peter Kairouz and Kunal Talwar from Google. Delve into the key aspects of privacy and security in collaborative machine learning environments, focusing on federated learning techniques. Gain insights into the latest research and developments in protecting user data and model integrity in distributed learning systems. Understand the importance of balancing privacy concerns with the benefits of collaborative learning across multiple parties.
Syllabus
Survey on Privacy/Security in FL
Taught by
Simons Institute
Related Courses
Advanced Operating SystemsGeorgia Institute of Technology via Udacity High Performance Computing
Georgia Institute of Technology via Udacity GT - Refresher - Advanced OS
Georgia Institute of Technology via Udacity Distributed Machine Learning with Apache Spark
University of California, Berkeley via edX CS125x: Advanced Distributed Machine Learning with Apache Spark
University of California, Berkeley via edX