IEEE

Improved Distributed Backdoor Attacks in Federated Learning by Density-Adaptive Data Poisoning and Projection-Based Gradient Updating

Abstract: While federated learning enables collaborative model training with preserved data locality, it remains vulnerable to evolving backdoor attacks that exploit its distributed architecture.
IEEE

Privacy Preserving Distributed Image Processing Using Federated Learning and CNNs

Abstract: The combination of Federated Learning (FL) and Convolutional Neural Networks (CNNs) has surfaced as a groundbreaking method for distributed image processing, tackling significant issues in ...