45 citations · 56 across the 20 of their papers we have counts for
20 papers
Federated Learning Resilient to Byzantine Attacks and Data Heterogeneity
Shiyuan Zuo, Xingrun Yan, Rongfei Fan +4
This paper addresses federated learning (FL) in the context of malicious Byzantine attacks and data heterogeneity. We introduce a novel Robust Average Gradient Algorithm (RAGA), wh…
A Hybrid Advertising Mode for Device Discovery in Bluetooth Low Energy Networks
Zhong Shen, Hai Jiang, Rongfei Fan +1
Device discovery has a great impact on the performance of Bluetooth low energy (BLE). The performance of device discovery is highly related to the advertising mode. BLE has two adv…
Dynamic Routing for Integrated Satellite-Terrestrial Networks: A Constrained Multi-Agent Reinforcement Learning Approach
Yifeng Lyu, Han Hu, Rongfei Fan +3
The integrated satellite-terrestrial network (ISTN) system has experienced significant growth, offering seamless communication services in remote areas with limited terrestrial inf…
Over-the-Air Computation Aided Federated Learning with the Aggregation of Normalized Gradient
Rongfei Fan, Xuming An, Shiyuan Zuo +1
Over-the-air computation is a communication-efficient solution for federated learning (FL). In such a system, iterative procedure is performed: Local gradient of private loss funct…
Federated Learning Robust to Byzantine Attacks: Achieving Zero Optimality Gap
Shiyuan Zuo, Rongfei Fan, Han Hu +2
In this paper, we propose a robust aggregation method for federated learning (FL) that can effectively tackle malicious Byzantine attacks. At each user, model parameter is firstly…
Joint Power Control and Data Size Selection for Over-the-Air Computation Aided Federated Learning
Xuming An, Rongfei Fan, Shiyuan Zuo +3
Federated learning (FL) has emerged as an appealing machine learning approach to deal with massive raw data generated at multiple mobile devices, {which needs to aggregate the trai…
Joint Task Offloading and Resource Allocation for Streaming Application in Cooperative Mobile Edge Computing
Xiang Li, Rongfei Fan, Han Hu +1
Mobile edge computing (MEC) enables resource-limited IoT devices to complete computation-intensive or delay-sensitive task by offloading the task to adjacent edge server deployed a…
Minimum Age of Information in Internet of Things with Opportunistic Channel Access
Lei Wang, Rongfei Fan
This paper investigates an Internet of Things (IoT) system in which multiple devices are observing some object's physical parameters and then offloading their observations back to…
Joint Task Offloading and Resource Allocation for IoT Edge Computing with Sequential Task Dependency
Xuming An, Rongfei Fan, Han Hu +3
Incorporating mobile edge computing (MEC) in the Internet of Things (IoT) enables resource-limited IoT devices to offload their computation tasks to a nearby edge server. In this p…
Energy-efficient Task Offloading for Relay Aided Mobile Edge Computing under Sequential Task Dependency
Xiangg Li, Rongfei Fan, Han Hu
In this paper, we study a mobile edge computing (MEC) system in which the mobile device is assisted by a base station (BS) and a cooperative node. The mobile device has sequential…
Energy-Efficient Task Offloading and Resource Allocation for Multiple Access Mobile Edge Computing
Bizheng Liang, Rongfei Fan, Han Hu
In this paper, the problem of joint radio and computation resource management over multi-channel is investigated for multi-user partial offloading mobile edge computing (MEC) syste…
Joint Task Offloading and Resource Allocation for IoT Edge Computing with Sequential Task Dependency
Xuming An, Rongfei Fan, Han Hu +3
Incorporating mobile edge computing (MEC) in Internet of Things (IoT) enables resource-limited IoT devices to offload their computation tasks to a nearby edge server. In this paper…
Energy-efficient Resource Allocation for Mobile Edge Computing Aided by Multiple Relays
Xiang Li, Rongfei Fan, Han Hu +2
In this paper, we study a mobile edge computing (MEC) system with the mobile device aided by multiple relay nodes for offloading data to an edge server. Specifically, the modes of…
Reconfigurable Intelligent Surface assisted Two-Way Communications: Performance Analysis and Optimization
Saman Atapattu, Rongfei Fan, Prathapasinghe Dharmawansa +3
In this paper, we investigate the two-way communication between two users assisted by a re-configurable intelligent surface (RIS). The scheme that two users communicate simultaneou…
Channel Estimation for Wireless Communication Systems Assisted by Large Intelligent Surfaces
Junliang Lin, Gongpu Wang, Rongfei Fan +2
In this letter, the channel estimation problem is studied for wireless communication systems assisted by large intelligent surface. Due to features of assistant channel, channel es…
Throughput Maximization in Two-hop DF Multiple-Relay Network with Simultaneous Wireless Information and Power Transfer
Qi Gu, Gongpu Wang, Rongfei Fan +2
This paper investigates the end-to-end throughput maximization problem for a two-hop multiple-relay network, with relays powered by simultaneous wireless information and power tran…
Energy-Efficient Mobile-Edge Computation Offloading over Multiple Fading Blocks
Rongfei Fan, Fudong Li, Song Jin +3
By allowing a mobile device to offload computation-intensive tasks to a base station, mobile edge computing (MEC) is a promising solution for saving the mobile device's energy. In…
Transceiver Design for Ambient Backscatter Communication over Frequency-Selective Channels
Chong Zhang, Yao Qin, Gongpu Wang +2
Existing studies about ambient backscatter communication mostly assume flat-fading channels. However, frequency-selective channels widely exist in many practical scenarios. Therefo…
Decoupled Heterogeneous Networks with Millimeter Wave Small Cells
Minwei Shi, Kai Yang, Chengwen Xing +1
Deploying sub-6GHz network together with millimeter wave (mmWave) is a promising solution to simultaneously achieve sufficient coverage and high data rate. In the heterogeneous net…
Dynamic Spectrum Leasing with Two Sellers
Rongfei Fan, Wen Chen, Hai Jiang +3
This paper studies dynamic spectrum leasing in a cognitive radio network. There are two spectrum sellers, who are two primary networks, each with an amount of licensed spectrum ban…