43 citations · 75 across the 6 of their papers we have counts for
6 papers
Multitier Service Migration Framework Based on Mobility Prediction in Mobile Edge Computing
Run Yang, Hui He, Weizhe Zhang
Mobile edge computing (MEC) pushes computing resources to the edge of the network and distributes them at the edge of the mobile network. Offloading computing tasks to the edge ins…
Dynamic GPU Energy Optimization for Machine Learning Training Workloads
Farui Wang, Weizhe Zhang, Shichao Lai +2
GPUs are widely used to accelerate the training of machine learning workloads. As modern machine learning models become increasingly larger, they require a longer time to train, le…
Auction Based Clustered Federated Learning in Mobile Edge Computing System
Renhao Lu, Weizhe Zhang, Qiong Li +2
In recent years, mobile clients' computing ability and storage capacity have greatly improved, efficiently dealing with some applications locally. Federated learning is a promising…
Double-Wing Mixture of Experts for Streaming Recommendations
Yan Zhao, Shoujin Wang, Yan Wang +2
Streaming Recommender Systems (SRSs) commonly train recommendation models on newly received data only to address user preference drift, i.e., the changing user preferences towards…
OODT: Obstacle Aware Opportunistic Data Transmission for Cognitive Radio Ad Hoc Networks
Xiaoxiong Zhong, Li Li, Yuanping Zhang +3
In recent years, a large number of smart devices will be connected in Internet of Things (IoT) using an ad hoc network, which needs more frequency spectra. The cognitive radio (CR)…
CL-ADMM: A Cooperative Learning Based Optimization Framework for Resource Management in MEC
Xiaoxiong Zhong, Xinghan Wang, Li Li +5
We consider the problem of intelligent and efficient resource management framework in mobile edge computing (MEC), which can reduce delay and energy consumption, featuring distribu…