Suggested Team Size: 3-4 students

Duration: 2 semesters

Suggested Team Size: 3-4 students

Duration: 2 semesters

Federated learning is a distributed machine learning technique that aggregates every client model on the server side. There can be various types of attacks to destroy the robustness of this learning system. A recent study* introduces a low-cost approach for the server to detect these malicious models by coordinate-based statistical comparison. In this project, we will extend this method for detecting model poisoning attacks both on the clients and on the server.