A Meta-Computing Framework for Collaborative Federated Graph Learning in Industrial IoT.
IEEE Internet Things J., 2025
Federal Graph Contrastive Learning With Secure Cross-Device Validation.
IEEE Trans. Mob. Comput., December, 2024
Fair and Communication-Efficient Personalized Federated Learning.
Proceedings of the Wireless Artificial Intelligent Computing Systems and Applications, 2024
SC-FGCL: Self-Adaptive Cluster-Based Federal Graph Contrastive Learning.
IEEE Open J. Comput. Soc., 2023
An Adaptive Sampling Strategy for Federal Graph Neural Networks in Internet of Things.
Proceedings of the IEEE International Performance, 2023
PMACNet: Parallel Multiscale Attention Constraint Network for Pan-Sharpening.
IEEE Geosci. Remote. Sens. Lett., 2022