2 papers
cs.LG2026
-FUM: Federated Unlearning via min--max and -divergence
Radmehr Karimian, Amirhossein Bagheri, Meghdad Kurmanji +2
Federated Learning (FL) has emerged as a powerful paradigm for collaborative machine learning across decentralized data sources, preserving privacy by keeping data local. However,…
cs.LG2024
Robust Semi-supervised Learning via -Divergence and -Rényi Divergence
Gholamali Aminian, Amirhossien Bagheri, Mahyar JafariNodeh +2
This paper investigates a range of empirical risk functions and regularization methods suitable for self-training methods in semi-supervised learning. These approaches draw inspira…