2 citations · 3 across the 3 of their papers we have counts for
3 papers
eess.SP2024
FLARE: A New Federated Learning Framework with Adjustable Learning Rates over Resource-Constrained Wireless Networks
Bingnan Xiao, Jingjing Zhang, Wei Ni +1
Wireless federated learning (WFL) suffers from heterogeneity prevailing in the data distributions, computing powers, and channel conditions of participating devices. This paper pre…
cs.NI2023★ 1 cited
Adaptive Multi-Armed Bandit Learning for Task Offloading in Edge Computing
Lin Wang, Jingjing Zhang
The widespread adoption of edge computing has emerged as a prominent trend for alleviating task processing delays and reducing energy consumption. However, the dynamic nature of ne…
cs.NI2023★ 2 cited
Deep Reinforcement Learning Based Resource Allocation for Cloud Native Wireless Network
Lin Wang, Jiasheng Wu, Yue Gao +1
Cloud native technology has revolutionized 5G beyond and 6G communication networks, offering unprecedented levels of operational automation, flexibility, and adaptability. However,…