26 citations · 30 across the 5 of their papers we have counts for
5 papers
Safe Multi-Agent Deep Reinforcement Learning for Privacy-Aware Edge-Device Collaborative DNN Inference
Hong Wang, Xuwei Fan, Zhipeng Cheng +4
As Deep Neural Network (DNN) inference becomes increasingly prevalent on edge and mobile platforms, critical challenges emerge in privacy protection, resource constraints, and dyna…
Auction-Promoted Trading for Multiple Federated Learning Services in UAV-Aided Networks
Zhipeng Cheng, Minghui Liwang, Xiaoyu Xia +3
Federated learning (FL) represents a promising distributed machine learning paradigm that allows smart devices to collaboratively train a shared model via providing local data sets…
Robust Beamforming for Localization-Aided Millimeter Wave Communication Systems
Junchang Sun, Shuai Ma, Shiyin Li +3
In this letter, we investigate a robust beamforming problem for localization-aided millimeter wave (mmWave) communication systems. To handle this problem, we propose a novel restri…
Defense Against Advanced Persistent Threats in Dynamic Cloud Storage: A Colonel Blotto Game Approach
Minghui Min, Liang Xiao, Caixia Xie +2
Advanced Persistent Threat (APT) attackers apply multiple sophisticated methods to continuously and stealthily steal information from the targeted cloud storage systems and can eve…
Learning-Based Computation Offloading for IoT Devices with Energy Harvesting
Minghui Min, Dongjin Xu, Liang Xiao +2
Internet of Things (IoT) devices can apply mobile-edge computing (MEC) and energy harvesting (EH) to provide the satisfactory quality of experiences for computation intensive appli…