Federated Distillation in Massive MIMO Networks: Dynamic Training, Convergence Analysis, and Communication Channel-Aware Learning.
IEEE Trans. Cogn. Commun. Netw., August, 2024
Optimizing Efficiency through Adaptive Model Pruning in Fully Distributed Federated Learning.
Proceedings of the 25th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2024
Communication Channel-Aware Federated Distillation For Massive MIMO Systems.
Proceedings of the 24th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2023
Federated Learning in Massive MIMO 6G Networks: Convergence Analysis and Communication-Efficient Design.
IEEE Trans. Netw. Sci. Eng., 2022
FDRdb: a manually curated database of fibrotic disease-associated RNAome and high-throughput datasets.
Database J. Biol. Databases Curation, 2022
Communication-Efficient Federated Learning For Massive MIMO Systems.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2022
SUR-FeatNet: Predicting the satisfied user ratio curve for image compression with deep feature learning.
Qual. User Exp., 2020
SUR-FeatNet: Predicting the Satisfied User Ratio Curvefor Image Compression with Deep Feature Learning.
CoRR, 2020