Changhee Hahn

Exploring Potential Vulnerabilities in Decomposed Convolutional Filters for Federated Learning

Federated Learning (FL) enables collaborative model training across distributed clients without directly sharing sensitive local data. However, the sharing of gradients or model updates still leaves the framework vulnerable to privacy breaches, notably Deep Leakage from Gradients (DLG). To counter such threats, recent...