Search Results for author:
Found 2 papers, 1 papers with code
PerFED-GAN: Personalized Federated Learning via Generative Adversarial Networks
Due to the differences of clients, a single global model may not perform well on all clients, so the personalized federated learning method, which trains a personalized model for each client that better suits its individual needs, becomes a research hotspot.
Cross-Silo Heterogeneous Model Federated Multitask Learning
CoFED is a federated learning method that is compatible with heterogeneous models, tasks, and training processes.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
