activity
20192025
most citedEdge Federated Learning Via Unit-Modulus Over-The-Air Computation

60 citations · 71 across the 9 of their papers we have counts for

collaborators

9 papers

eess.SY2025

A Dynamic Programming Framework for Vehicular Task Offloading with Successive Action Improvement

Qianren Li, Yuncong Hong, Bojie Lv +1

In this paper, task offloading from vehicles with random velocities is optimized via a novel dynamic programming framework. Particularly, in a vehicular network with multiple vehic…

eess.SY2025★ 1 cited

A Dynamic Improvement Framework for Vehicular Task Offloading

Qianren Li, Yuncong Hong, Bojie Lv +1

In this paper, the task offloading from vehicles with random velocities is optimized via a novel dynamic improvement framework. Particularly, in a vehicular network with multiple v…

cs.NI2024★ 2 cited

ReinWiFi: Application-Layer QoS Optimization of WiFi Networks with Reinforcement Learning

Qianren Li, Bojie Lv, Yuncong Hong +1

The enhanced distributed channel access (EDCA) mechanism is used in current wireless fidelity (WiFi) networks to support priority requirements of heterogeneous applications. Howeve…

cs.RO2022

Robotic Wireless Energy Transfer in Dynamic Environments: System Design and Experimental Validation

Shuai Wang, Ruihua Han, Yuncong Hong +5

Wireless energy transfer (WET) is a ground-breaking technology for cutting the last wire between mobile sensors and power grids in smart cities. Yet, WET only offers effective tran…

cs.LG2021★ 5 cited

Distributed Dynamic Map Fusion via Federated Learning for Intelligent Networked Vehicles

Zijian Zhang, Shuai Wang, Yuncong Hong +2

The technology of dynamic map fusion among networked vehicles has been developed to enlarge sensing ranges and improve sensing accuracies for individual vehicles. This paper propos…

cs.IT2021★ 60 cited

Edge Federated Learning Via Unit-Modulus Over-The-Air Computation

Shuai Wang, Yuncong Hong, Rui Wang +3

Edge federated learning (FL) is an emerging paradigm that trains a global parametric model from distributed datasets based on wireless communications. This paper proposes a unit-mo…

cs.NI2020★ 1 cited

Online Distributed Job Dispatching with Outdated and Partially-Observable Information

Yuncong Hong, Bojie Lv, Rui Wang +4

In this paper, we investigate online distributed job dispatching in an edge computing system residing in a Metropolitan Area Network (MAN). Specifically, job dispatchers are implem…

cs.IT2020★ 1 cited

Learning Centric Wireless Resource Allocation for Edge Computing: Algorithm and Experiment

Liangkai Zhou, Yuncong Hong, Shuai Wang +4

Edge intelligence is an emerging network architecture that integrates sensing, communication, computing components, and supports various machine learning applications, where a fund…

cs.NI2019★ 1 cited

Cooperative Job Dispatching in Edge Computing Network with Unpredictable Uploading Delay

Bojie Lv, Yuncong Hong, Haisheng Tan +2

In this paper, the cooperative jobs dispatching problem in an edge computing network with multiple access points (APs) and edge servers is considered. Due to the uncertain traffic…