YoVDO

RoFL - Robustness of Secure Federated Learning

Offered By: IEEE via YouTube

Tags

IEEE Symposium on Security and Privacy Courses Cybersecurity Courses Machine Learning Courses Federated Learning Courses Privacy Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Explore a 15-minute IEEE conference talk examining the robustness of secure federated learning. Delve into the research presented by experts from ETH Zurich, including Hidde Lycklama, Lukas Burkhalter, Alexander Viand, Nicolas Küchler, and Anwar Hithnawi. Gain insights into the challenges and solutions surrounding the security and resilience of federated learning systems, a crucial aspect of distributed machine learning in privacy-sensitive environments.

Syllabus

RoFL: Robustness of Secure Federated Learning


Taught by

IEEE Symposium on Security and Privacy

Tags

Related Courses

Sensor Security
IEEE via YouTube Tracking Ransomware End-to-end
IEEE via YouTube Cinderella - Turning Shabby X.509 Certificates into Elegant Anonymous Credentials with the Magic of Verifiable Computation
IEEE via YouTube Algorithmic Transparency via Quantitative Input Influence - Theory and Experiments with Learning Systems
IEEE via YouTube Bitcoin Over Tor Isn't a Good Idea
IEEE via YouTube