68 citations · 243 across the 35 of their papers we have counts for
20 papers · 1 filter
Distributed Deep Learning at the Edge: A Novel Proactive and Cooperative Caching Framework for Mobile Edge Networks
Yuris Mulya Saputra, Dinh Thai Hoang, Diep N. Nguyen +3
This letter proposes two novel proactive cooperative caching approaches using deep learning (DL) to predict users' content demand in a mobile edge caching network. In the first app…
Efficient Training Management for Mobile Crowd-Machine Learning: A Deep Reinforcement Learning Approach
Tran The Anh, Nguyen Cong Luong, Dusit Niyato +2
In this letter, we consider the concept of Mobile Crowd-Machine Learning (MCML) for a federated learning model. The MCML enables mobile devices in a mobile network to collaborative…
Channel Tracking for Wireless Energy Transfer: A Deep Recurrent Neural Network Approach
Jae-Mo Kang, Chang-Jae Chun, Il-Min Kim +1
In this paper, we study channel tracking for the wireless energy transfer (WET) system, which is practically a very important, but challenging problem. Regarding the time-varying c…
Joint Service Pricing and Cooperative Relay Communication for Federated Learning
Shaohan Feng, Dusit Niyato, Ping Wang +2
For the sake of protecting data privacy and due to the rapid development of mobile devices, e.g., powerful central processing unit (CPU) and nascent neural processing unit (NPU), c…
Evolutionary Game for Consensus Provision in Permissionless Blockchain Networks with Shard
Zhengwei Ni, Wenbo Wang, Dong In Kim +2
With the development of decentralized consensus protocols, permissionless blockchains have been envisioned as a promising enabler for the general-purpose transaction-driven, autono…
Joint Transaction Transmission and Channel Selection in Cognitive Radio Based Blockchain Networks: A Deep Reinforcement Learning Approach
Nguyen Cong Luong, Tran The Anh, Huynh Thi Thanh Binh +3
To ensure that the data aggregation, data storage, and data processing are all performed in a decentralized but trusted manner, we propose to use the blockchain with the mining poo…