2 papers
stat.ML2025
Federated Online Learning for Heterogeneous Multisource Streaming Data
Jingmao Li, Yuanxing Chen, Shuangge Ma +1
Federated learning has emerged as an essential paradigm for distributed multi-source data analysis under privacy concerns. Most existing federated learning methods focus on the ``s…
cs.LG2025
ContinualFlow: Learning and Unlearning with Neural Flow Matching
Lorenzo Simone, Davide Bacciu, Shuangge Ma
We introduce ContinualFlow, a principled framework for targeted unlearning in generative models via Flow Matching. Our method leverages an energy-based reweighting loss to softly s…