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20232026
most citedTheoretical Analysis of Impact of Delayed Updates on Decentralized Federated Learning

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

cs.IT2026

Channel Knowledge Map Construction via Guided Flow Matching

Ziyu Huang, Yong Zeng, Shen Fu +2

The efficient construction of accurate channel knowledge maps (CKMs) is crucial for unleashing the full potential of environment-aware wireless networks, yet it remains a difficult…

eess.SP2025

Channel Knowledge Map Construction: Recent Advances and Open Challenges

Zixiang Ren, Juncong Zhou, Jie Xu +5

Channel knowledge map (CKM) has emerged as a pivotal technology for environment-aware wireless communications and sensing, which provides a priori location-specific channel knowled…

cs.NI2025

M3LLM: Model Context Protocol-aided Mixture of Vision Experts For Multimodal LLMs in Networks

Yongjie Zeng, Hongyang Du

Current Multimodal Large Language Models (MLLMs) rely on centralized architectures and often suffer from poor alignment between the input task and their fixed visual encoding modul…

cs.LG2024

Parkinson's Disease Detection from Resting State EEG using Multi-Head Graph Structure Learning with Gradient Weighted Graph Attention Explanations

Christopher Neves, Yong Zeng, Yiming Xiao

Parkinson's disease (PD) is a debilitating neurodegenerative disease that has severe impacts on an individual's quality of life. Compared with structural and functional MRI-based b…

cs.DC2023★ 1 cited

Theoretical Analysis of Impact of Delayed Updates on Decentralized Federated Learning

Yong Zeng, Siyuan Liu, Zhiwei Xu +1

Decentralized Federated learning is a distributed edge intelligence framework by exchanging parameter updates instead of training data among participators, in order to retrain or f…