13 citations · 28 across the 6 of their papers we have counts for
6 papers
Differentially Private Over-the-Air Federated Learning Over MIMO Fading Channels
Hang Liu, Jia Yan, Ying-Jun Angela Zhang
Federated learning (FL) enables edge devices to collaboratively train machine learning models, with model communication replacing direct data uploading. While over-the-air model ag…
Bayesian Optimization for Online Management in Dynamic Mobile Edge Computing
Jia Yan, Qin Lu, Georgios B. Giannakis
Recent years have witnessed the emergence of mobile edge computing (MEC), on the premise of a cost-effective enhancement in the computational ability of hardware-constrained wirele…
Optimal Model Placement and Online Model Splitting for Device-Edge Co-Inference
Jia Yan, Suzhi Bi, Ying-Jun Angela Zhang
Device-edge co-inference opens up new possibilities for resource-constrained wireless devices (WDs) to execute deep neural network (DNN)-based applications with heavy computation w…
Pricing-Driven Service Caching and Task Offloading in Mobile Edge Computing
Jia Yan, Suzhi Bi, Lingjie Duan +1
Provided with mobile edge computing (MEC) services, wireless devices (WDs) no longer have to experience long latency in running their desired programs locally, but can pay to offlo…
Offloading and Resource Allocation with General Task Graph in Mobile Edge Computing: A Deep Reinforcement Learning Approach
Jia Yan, Suzhi Bi, Ying-Jun Angela Zhang
In this paper, we consider a mobile-edge computing system, where an access point assists a mobile device (MD) to execute an application consisting of multiple tasks following a gen…
Optimal Task Offloading and Resource Allocation in Mobile-Edge Computing with Inter-user Task Dependency
Jia Yan, Suzhi Bi, Ying-Jun Angela Zhang +1
Mobile-edge computing (MEC) has recently emerged as a cost-effective paradigm to enhance the computing capability of hardware-constrained wireless devices (WDs). In this paper, we…