activity
20232026
most citedClients Collaborate: Flexible Differentially Private Federated Learning with Guaranteed Improvement of Utility-Privacy Trade-off

3 citations · 5 across the 3 of their papers we have counts for

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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…