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cs.LG2026
Robust Losses from Univariate Base Functions for Noisy-Label Learning
Peng Hu, Jianwei Ma
Learning with noisy labels is a fundamental problem in training reliable deep neural networks. Robust loss functions provide a direct and effective way to mitigate the adverse effe…
cs.LG2026
Personalized Federated Learning via Gaussian Generative Modeling
Peng Hu, Jianwei Ma
Federated learning has emerged as a paradigm to train models collaboratively on inherently distributed client data while safeguarding privacy. In this context, personalized federat…