Reza Fotohi

Privacy-Preserving Personalized Federated Learning Against Poisoning and Inference Attacks in Intelligent Enterprises

Data-driven decision-making is a key enabler of intelligent enterprises, yet centralized machine learning (ML) poses privacy and efficiency risks. Federated learning (FL) offers a decentralized solution. Still, it faces 1) high communication cost, 2) vulnerability to poisoning and inference attacks, and 3) degraded per...