Talks and Presentations

Information-Theoretical Bounds on Privacy Leakage in Pruned Federated Learning

July 07, 2024

Talk, ISIT 2024 Workshop on Information-Theoretic Methods for Trustworthy Machine Learning, Athens, Greece

Presented our work on “Information-Theoretical Bounds on Privacy Leakage in Pruned Federated Learning” at the ISIT 2024 Workshop on Information-Theoretic Methods for Trustworthy Machine Learning.

FedQV: Leveraging Quadratic Voting in Federated Learning

June 13, 2024

Conference proceedings talk, IMDEA Networks Institute & ACM SIGMETRICS 2024, Madrid, Spain & Venice, Italy

Presented our work on “FedQV: Leveraging Quadratic Voting in Federated Learning” at the IMDEA Networks Institute.