2 citations · 5 across the 7 of their papers we have counts for
Showing eess.SPShow all
3 papers · 1 filter
eess.SP2026
Hierarchical Wireless Foundation Model for Multi-Task Optimization
Yangjing Wang, Ouya Wang, Shenglong Zhou +1
The increasing complexity of next-generation wireless networks has driven the integration of artificial intelligence (AI) into wireless communications. However, most existing studi…
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
Neural Collapse based Deep Supervised Federated Learning for Signal Detection in OFDM Systems
Kaidi Xu, Shenglong Zhou, Geoffrey Ye Li
Future wireless networks are expected to be AI-empowered, making their performance highly dependent on the quality of training datasets. However, physical-layer entities often obse…