6 papers
Safety-Aware AoI Scheduling for LEO Satellite-Assisted Autonomous Driving
Kangkang Sun, Junyi He, Juntong Liu +3
Autonomous platoons traversing infrastructure gaps increasingly depend on LEO satellite backhaul for safety-critical updates, yet no existing framework jointly addresses compound D…
Hierarchical Battery-Aware Game Algorithm for ISL Power Allocation in LEO Mega-Constellations
Kangkang Sun, Jianhua Li, Xiuzhen Chen +2
Sustaining high inter-satellite link (ISL) throughput under intermittent solar harvesting is a fundamental challenge for LEO mega-constellations. Existing works impose static power…
Heterogeneous Mean Field Game Framework for LEO Satellite-Assisted V2X Networks
Kangkang Sun, Jianhua Li, Xiuzhen Chen +2
Coordinating mixed fleets of massive vehicles under stringent delay constraints is a central scalability bottleneck in next-generation mobile computing networks, especially when pa…
CoE: Collaborative Entropy for Uncertainty Quantification in Agentic Multi-LLM Systems
Kangkang Sun, Jun Wu, Jianhua Li +3
Uncertainty estimation in multi-LLM systems remains largely single-model-centric: existing methods quantify uncertainty within each model but do not adequately capture semantic dis…
Privacy as Commodity: MFG-RegretNet for Large-Scale Privacy Trading in Federated Learning
Kangkang Sun, Jianhua Li, Xiuzhen Chen +2
Federated Learning (FL) has emerged as a prominent paradigm for privacy-preserving distributed machine learning, yet two fundamental challenges hinder its large-scale adoption. Fir…
FedPF: Accurate Target Privacy Preserving Federated Learning Balancing Fairness and Utility
Kangkang Sun, Jun Wu, Minyi Guo +2
Federated Learning (FL) enables collaborative model training without data sharing, yet participants face a fundamental challenge, e.g., simultaneously ensuring fairness across demo…