68 citations · 243 across the 35 of their papers we have counts for
3 papers · 1 filter
Resource Management for Blockchain-enabled Federated Learning: A Deep Reinforcement Learning Approach
Nguyen Quang Hieu, Tran The Anh, Nguyen Cong Luong +3
Blockchain-enabled Federated Learning (BFL) enables mobile devices to collaboratively train neural network models required by a Machine Learning Model Owner (MLMO) while keeping da…
Incentive Design for Efficient Federated Learning in Mobile Networks: A Contract Theory Approach
Jiawen Kang, Zehui Xiong, Dusit Niyato +3
To strengthen data privacy and security, federated learning as an emerging machine learning technique is proposed to enable large-scale nodes, e.g., mobile devices, to distributedl…
Deep Reinforcement Learning for Time Scheduling in RF-Powered Backscatter Cognitive Radio Networks
Tran The Anh, Nguyen Cong Luong, Dusit Niyato +2
In an RF-powered backscatter cognitive radio network, multiple secondary users communicate with a secondary gateway by backscattering or harvesting energy and actively transmitting…