activity
20142026
most citedEnergy Efficiency and Spectral Efficiency Tradeoff in Device-to-Device (D2D) Communications

172 citations · 392 across the 21 of their papers we have counts for

collaborators

21 papers

cs.LG2026

HoGS: Homophily-Oriented Graph Synthesis for Local Differentially Private GNN Training

Wen Xu, Zhetao Li, Yong Xiao +3

Graph neural networks (GNNs) have demonstrated remarkable performance in various graph-based machine learning tasks by effectively modeling high-order interactions between nodes. H…

cs.GT2025

Truthful and Trustworthy IoT AI Agents via Immediate-Penalty Enforcement under Approximate VCG Mechanisms

Xun Shao, Ryuuto Shimizu, Zhi Liu +2

The deployment of autonomous AI agents in Internet of Things (IoT) energy systems requires decision-making mechanisms that remain robust, efficient, and trustworthy under real-time…

cs.DC2024★ 2 cited

Efficient Asynchronous Federated Learning with Sparsification and Quantization

Juncheng Jia, Ji Liu, Chendi Zhou +3

While data is distributed in multiple edge devices, Federated Learning (FL) is attracting more and more attention to collaboratively train a machine learning model without transfer…

cs.LG2023

An Efficient Imbalance-Aware Federated Learning Approach for Wearable Healthcare with Autoregressive Ratio Observation

Wenhao Yan, He Li, Kaoru Ota +1

Widely available healthcare services are now getting popular because of advancements in wearable sensing techniques and mobile edge computing. People's health information is collec…

eess.SP2023★ 99 cited

Robust Computation Offloading and Trajectory Optimization for Multi-UAV-Assisted MEC: A Multi-Agent DRL Approach

Bin Li, Rongrong Yang, Lei Liu +3

For multiple Unmanned-Aerial-Vehicles (UAVs) assisted Mobile Edge Computing (MEC) networks, we study the problem of combined computation and communication for user equipments deplo…

cs.HC2023★ 44 cited

Wital: A COTS WiFi Devices Based Vital Signs Monitoring System Using NLOS Sensing Model

Xiang Zhang, Yu Gu, Huan Yan +5

Vital sign (breathing and heartbeat) monitoring is essential for patient care and sleep disease prevention. Most current solutions are based on wearable sensors or cameras; however…