1 citations · 3 across the 6 of their papers we have counts for
6 papers
OptiVote: Non-Coherent FSO Over-the-Air Majority Vote for Communication-Efficient Distributed Federated Learning in Space Data Centers
Anbang Zhang, Chenyuan Feng, Wai Ho Mow +4
The rapid deployment of mega-constellations is driving the long-term vision of space data centers (SDCs), where interconnected satellites form in-orbit distributed computing and le…
CoCo-Fed: A Unified Framework for Memory- and Communication-Efficient Federated Learning at the Wireless Edge
Zhiheng Guo, Zhaoyang Liu, Zihan Cen +5
The deployment of large-scale neural networks within the Open Radio Access Network (O-RAN) architecture is pivotal for enabling native edge intelligence. However, this paradigm fac…
Empower Low-Altitude Economy: A Reliability-Aware Dynamic Weighting Allocation for Multi-modal UAV Beam Prediction
Haojin Li, Anbang Zhang, Chen Sun +4
The low-altitude economy (LAE) is rapidly expanding driven by urban air mobility, logistics drones, and aerial sensing, while fast and accurate beam prediction in uncrewed aerial v…
Towards 6G Native-AI Edge Networks: A Semantic-Aware and Agentic Intelligence Paradigm
Chenyuan Feng, Anbang Zhang, Geyong Min +3
The evolution toward sixth-generation wireless systems positions intelligence as a native network capability, fundamentally transforming the design of radio access networks (RANs).…
Learning for Cross-Layer Resource Allocation in MEC-Aided Cell-Free Networks
Chong Zheng, Shiwen He, Yongming Huang +1
Cross-layer resource allocation over mobile edge computing (MEC)-aided cell-free networks can sufficiently exploit the transmitting and computing resources to promote the data rate…
Intelligent Hybrid Resource Allocation in MEC-assisted RAN Slicing Network
Chong Zheng, Yongming Huang, Cheng Zhang +1
In this paper, we aim to maximize the SSR for heterogeneous service demands in the cooperative MEC-assisted RAN slicing system by jointly considering the multi-node computing resou…