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cs.AI2026
Prototype-guided Bilateral Alignment Multimodal Federated Learning
Tianchi Liao Tianchi_Liao, Lele Fu, Sheng Huang +3
Multimodal federated learning (MFL) has emerged as a pivotal paradigm for leveraging distributed data to enhance model performance. However, existing methods predominantly rely on…
cs.LG2026
Structural Entropy-Driven Graph Diffusion Generation for One-Shot Federated Graph Learning
Shutong Zheng, Lele Fu, Sheng Huang +2
One-shot federated graph learning (FGL) requires the server to estimate client contributions from highly compressed information, yet conventional volume-based weighting captures th…