Chang-Wei Du

DAD-FL: Defending Federated Learning Against Poisoning Attacks via Cosine Similarity and Gaussian Mixture Modeling

Federated learning (FL) enables collaborative model training without centralizing raw data, but its open participation mechanism makes the training process vulnerable to poisoning attacks. In realistic deployments, this problem is further aggravated by non-independent and identically distributed (Non-IID) data, because...