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20222026
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10 papers · 1 filter

eess.SP2026

Explainable AI for Next-Generation Wireless Physical Layer: Basics, State-of-the-Art, and Open Challenges

Bingnan Xiao, Shuyan Hu, Xiaojing Chen +5

Next-generation wireless systems are expected to be ``AI-native," with neural networks (NNs) embedded throughout the physical (PHY) layer protocol stack to improve spectral efficie…

eess.SP2026

Event-Triggered Gossip for Distributed Learning

Zhiyuan Zhai, Xiaojun Yuan, Wei Ni +3

While distributed learning offers a new learning paradigm for distributed network with no central coordination, it is constrained by communication bottleneck between nodes. We deve…

eess.SP2025

Trajectory Design for UAV-Assisted Logistics Collection in Low-Altitude Economy

Zhiyuan Zhai, Yuan Gao, Wei Ni +2

Low-altitude economy (LAE) is rapidly emerging as a key driver of innovation, encompassing economic activities taking place in airspace below 500 meters. Unmanned aerial vehicles (…

eess.SP2025

Learning Performance Optimization for Edge AI System with Time and Energy Constraints

Zhiyuan Zhai, Wei Ni, Xin Wang

Edge AI, which brings artificial intelligence to the edge of the network for real-time processing and decision-making, has emerged as a transformative technology across various app…

eess.SP2025

Spectral-Convergent Decentralized Machine Learning: Theory and Application in Space Networks

Zhiyuan Zhai, Shuyan Hu, Wei Ni +2

Decentralized machine learning (DML) supports collaborative training in large-scale networks with no central server. It is sensitive to the quality and reliability of inter-device…

eess.SP2025

Decentralized Federated Learning with Distributed Aggregation Weight Optimization

Zhiyuan Zhai, Xiaojun Yuan, Xin Wang +1

Decentralized federated learning (DFL) is an emerging paradigm to enable edge devices collaboratively training a learning model using a device-to-device (D2D) communication manner…

eess.SP2025

Integrated Sensing and Communication with UAV Swarms via Decentralized Consensus ADMM

Zhiyuan Zhai, Wei Ni, Xin Wang +2

UAV swarms can form virtual antenna arrays to exploit additional spatial degrees of freedom and enhance integrated sensing and communication (ISAC). The optimization of UAV positio…

eess.SP2024

UAV-Enabled Asynchronous Federated Learning

Zhiyuan Zhai, Xiaojun Yuan, Xin Wang +1

To exploit unprecedented data generation in mobile edge networks, federated learning (FL) has emerged as a promising alternative to the conventional centralized machine learning (M…

eess.SP2023

Decentralized Federated Learning via MIMO Over-the-Air Computation: Consensus Analysis and Performance Optimization

Zhiyuan Zhai, Xiaojun Yuan, Xin Wang

Decentralized federated learning (DFL), inherited from distributed optimization, is an emerging paradigm to leverage the explosively growing data from wireless devices in a fully d…

eess.SP2022

Energy-Efficient UAV-Mounted RIS Assisted Mobile Edge Computing

Zhiyuan Zhai, Xinhong Dai, Bin Duo +2

Unmanned aerial vehicle (UAV) and reconfigurable intelligent surface (RIS) have been recently applied in the field of mobile edge computing (MEC) to improve the data exchange envir…