Conference
Aug 2026
Beamforming-Aided Wireless Multimodal Federated Learning: Dynamic Pruning and Joint Optimization
Wireless multimodal federated learning (MFL) is promising for privacy-preserving edge intelligence, but its practical deployment is challenged by modality heterogeneity, client resource heterogeneity, and the high communication and computation cost of multimodal models. This paper proposes a beamforming-aided wireless...
Chun-Feng Xie, Zhi-Xiong Chen, Wenqiang Yi et al.
· 2026 IEEE/CIC International... · 0 citations