3 papers
cs.LG2025
Multi-Modal One-Shot Federated Ensemble Learning for Medical Data with Vision Large Language Model
Naibo Wang, Yuchen Deng, Shichen Fan +2
Federated learning (FL) has attracted considerable interest in the medical domain due to its capacity to facilitate collaborative model training while maintaining data privacy. How…
cs.CV2024
Data-Free Federated Class Incremental Learning with Diffusion-Based Generative Memory
Naibo Wang, Yuchen Deng, Wenjie Feng +2
Federated Class Incremental Learning (FCIL) is a critical yet largely underexplored issue that deals with the dynamic incorporation of new classes within federated learning (FL). E…
cs.LG2024
One-Shot Sequential Federated Learning for Non-IID Data by Enhancing Local Model Diversity
Naibo Wang, Yuchen Deng, Wenjie Feng +3
Traditional federated learning mainly focuses on parallel settings (PFL), which can suffer significant communication and computation costs. In contrast, one-shot and sequential fed…