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Hong-Yang Du

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#artificial intelligence Open access Sep 2026

Modality-Decoupled Federated Learning for Privacy-Preserving Embodied Intelligence in 6G

FedMVLA is proposed, a modality-decoupled FL framework for privacy-preserving embodied intelligence in 6G networks that incorporates three mechanisms: modality-aware federated aggregation (MAFA), modality-aware privacy allocation (MAPA), and modality-aware communication compression (MACO), together with a modality-slic...

Zhuo-Dong Liu, Xiang-Yu Li, Chun-Hong Yuan et al. · IEEE wireless communications · 0 citations

#graph neural networks Sep 2026

Graph Neural Networks for Diffusion and Aggregation in Wireless Federated Learning

User devices (UDs) with non-independent and identically distributed (non-IID) data will worsen accuracy performance of the global model in federated learning (FL). Therefore, the implementation of diffusion strategies in machine learning (ML) models can enhance the effectiveness of federated learning with non-IID data....

Yunli Ji, Jiechun Zheng, Hongyang Du et al. · IEEE Transactions on Mobile... · 0 citations