most citedCommunication-Efficient Robust Federated Learning Over Heterogeneous Datasets

13 citations · 35 across the 10 of their papers we have counts for

collaborators

10 papers

cs.IT2021★ 2 cited

Age of Information in Physical-Layer Network Coding Enabled Two-Way Relay Networks

Haoyuan Pan, Tse-Tin Chan, Victor C. M. Leung +1

This paper investigates the information freshness of two-way relay networks (TWRN) operated with physical-layer network coding (PNC). Information freshness is quantified by age of…

cs.NI2021★ 7 cited

Customized Slicing for 6G: Enforcing Artificial Intelligence on Resource Management

Wanqing Guan, Haijun Zhang, Victor C. M. Leung

Next generation wireless networks are expected to support diverse vertical industries and offer countless emerging use cases. To satisfy stringent requirements of diversified servi…

cs.IT2020★ 4 cited

Caching Transient Content for IoT Sensing: Multi-Agent Soft Actor-Critic

Xiongwei Wu, Xiuhua Li, Jun Li +3

Edge nodes (ENs) in Internet of Things commonly serve as gateways to cache sensing data while providing accessing services for data consumers. This paper considers multiple ENs tha…

cs.NI2020

Edge Network-Assisted Real-Time Object Detection Framework for Autonomous Driving

Seung Wook Kim, Keunsoo Ko, Haneul Ko +1

Autonomous vehicles (AVs) can achieve the desired results within a short duration by offloading tasks even requiring high computational power (e.g., object detection (OD)) to edge…

cs.IT2020

Device-Clustering and Rate-Splitting Enabled Device-to-Device Cooperation Framework in Fog Radio Access Network

Md. Zoheb Hassan, Md. Jahangir Hossain, Julian Cheng +1

Resource allocation is investigated to enhance the performance of device-to-device (D2D) cooperation in a fog radio access network (F-RAN) architecture. Our envisioned framework en…

cs.LG2020★ 13 cited

Communication-Efficient Robust Federated Learning Over Heterogeneous Datasets

Yanjie Dong, Georgios B. Giannakis, Tianyi Chen +3

This work investigates fault-resilient federated learning when the data samples are non-uniformly distributed across workers, and the number of faulty workers is unknown to the cen…

eess.SP2020★ 6 cited

Energy Efficient User Clustering, Hybrid Precoding and Power Optimization in Terahertz MIMO-NOMA Systems

Haijun Zhang, Haisen Zhang, Wei liu +3

Terahertz (THz) band communication has been widely studied to meet the future demand for ultra-high capacity. In addition, multi-input multi-output (MIMO) technique and non-orthogo…

cs.IT2020

Latency-Minimized Design of Secure Transmissions in UAV-Aided Communications

Xiongwei Wu, Qiang Li, Yawei Lu +3

Unmanned aerial vehicles (UAVs) can be utilized as aerial base stations to provide communication service for remote mobile users due to their high mobility and flexible deployment.…

cs.IT2020

Cross-Layer Scheduling and Beamforming in Smart-Grid Powered Cellular Networks With Heterogeneous Energy Coordination

Yanjie Dong, Md. Jahangir Hossain, Julian Cheng +1

User scheduling, beamforming and energy coordination are investigated in smart-grid powered cellular networks (SGPCNs), where the base stations are powered by a smart grid and natu…

eess.SP2020★ 3 cited

Joint Long-Term Cache Updating and Short-Term Content Delivery in Cloud-Based Small Cell Networks

Xiongwei Wu, Qiang Li, Xiuhua Li +2

Explosive growth of mobile data demand may impose a heavy traffic burden on fronthaul links of cloud-based small cell networks (C-SCNs), which deteriorates users' quality of servic…