Resource-Aware Personalized Federated Learning Based on Reinforcement Learning.
IEEE Commun. Lett., January, 2025
Towards practical data alignment in production federated learning.
Frontiers Comput. Sci., January, 2025
NQFL: Nonuniform Quantization for Communication Efficient Federated Learning.
IEEE Commun. Lett., February, 2024
Rate distortion optimization for adaptive gradient quantization in federated learning.
Digit. Commun. Networks, 2024
Masking-enabled Data Protection Approach for Accurate Split Learning.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2023
Communication Efficient Federated Learning Based on Combination of Structural Sparsification and Hybrid Quantization Sensing.
Proceedings of the 22nd IEEE International Conference on Trust, 2023
Federated Learning with Sample-Level Class Balancing Aggregation.
Proceedings of the 2nd International Conference on Signal Processing, 2023
A Safe Architecture of 5G Network Intelligence Based on Federated Learning and NWDAF.
Proceedings of the 4th International Conference on Advanced Information Science and System, 2022
Clustered Federated Learning Based on Data Distribution.
Proceedings of the AISS 2021: 3rd International Conference on Advanced Information Science and System, Sanya, China, November 26, 2021
Semi-supervised Learning on Semantic Manifold for Event Analysis in Dynamic Scenes.
Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007
From Motion Patterns to Visual Concepts for Event Analysis in Dynamic Scenes.
Proceedings of the Computer Vision, 2006