4 papers
Parallel Collaborative ADMM Privacy Computing and Adaptive GPU Acceleration for Distributed Edge Networks
Mengchun Xia, Zhicheng Dong, Donghong Cai +3
Distributed computing has been widely applied in distributed edge networks for reducing the processing burden of high-dimensional data centralization, where a high-dimensional comp…
SCA-LLM: Spectral-Attentive LLM-Based Wireless World Modeling for Agentic Communications
Ke He, Le He, Lisheng Fan +4
Future AI-native wireless networks are moving from reactive optimization to agentic decision-making that can sense, predict, and plan under fast-varying channels. This calls for wi…
FedeCouple: Fine-Grained Balancing of Global-Generalization and Local-Adaptability in Federated Learning
Ming Yang, Dongrun Li, Xin Wang +5
In privacy-preserving mobile network transmission scenarios with heterogeneous client data, personalized federated learning methods that decouple feature extractors and classifiers…
Asynchronous Risk-Aware Multi-Agent Packet Routing for Ultra-Dense LEO Satellite Networks
Ke He, Thang X. Vu, Le He +3
The rise of ultra-dense LEO constellations creates a complex and asynchronous network environment, driven by their massive scale, dynamic topologies, and significant delays. This u…