Sample Selection Using Multi-Task Autoencoders in Federated Learning with Non-IID Data
arXiv:2604.26116v1 Announce Type: new
Abstract: Federated learning is a machine learning paradigm in which multiple devices collaboratively train a model under the supervision of a central server while ensuring data privacy. However, its performance i…