Area of research
Computer Networks and Communications · Artificial Intelligence
Research interest
Research interests include IoT and Edge/Fog Computing, Privacy-Preserving Technologies in Data, Age of Information Optimization, and Mobile Crowdsensing and Crowdsourcing.
On Adaptive Edge Microservice Placement: A Reinforcement Learning Approach Endowed With Graph Comprehension
Not All Inputs Are Valid: Towards Open-Set Video Moment Retrieval using Language
Context-Aware Online Client Selection for Hierarchical Federated Learning
Autodidactic Neurosurgeon: Collaborative Deep Inference for Mobile Edge Intelligence via Online Learning
Bandwidth Allocation for Multiple Federated Learning Services in Wireless Edge Networks
Automated Ensemble for Deep Learning Inference on Edge Computing Platforms
Risk-Aware Edge Computation Offloading Using Bayesian Stackelberg Game
Seek Common While Shelving Differences: Orchestrating Deep Neural Networks for Edge Service Provisioning
Learning Optimal Sniffer Channel Assignment for Small Cell Cognitive Radio Networks
Collaborative Service Placement for Edge Computing in Dense Small Cell Networks
Collaborative Content Placement Among Wireless Edge Caching Stations With Time-to-Live Cache
Privacy-Aware Edge Computing Based on Adaptive DNN Partitioning
Joint Service Caching and Task Offloading for Mobile Edge Computing in Dense Networks
Computation Peer Offloading for Energy-Constrained Mobile Edge Computing in Small-Cell Networks
Spatio–Temporal Edge Service Placement: A Bandit Learning Approach
Adaptive Fog Configuration for the Industrial Internet of Things
Online Geographical Load Balancing for Energy-Harvesting Mobile Edge Computing
Designing Security-Aware Incentives for Computation Offloading via Device-to-Device Communication
Online Learning for Offloading and Autoscaling in Energy Harvesting Mobile Edge Computing
Socially trusted collaborative edge computing in ultra dense networks
Energy efficient mobile edge computing in dense cellular networks
Computation Peer Offloading in Mobile Edge Computing with Energy Budgets
E<sup>2</sup>M<sup>2</sup>: Energy efficient mobility management in dense small cells with mobile edge computing