Edge-Computing

A Risk-Aware UAV-Edge Service Framework for Wildfire Monitoring and Emergency Response

• Integrated UAV‑edge framework co‑optimizes route, fleet size, and edge service for wildfire monitoring. • Fire‑history‑weighted clustering prioritizes high‑risk zones, improving

Carbon-aware decentralized dynamic task offloading in MIMO-MEC networks via multi-agent reinforcement learning

• CADDTO-PPO introduces carbon‑aware decentralized task offloading for MIMO‑MEC networks in. • Uses multi‑agent proximal policy optimization to jointly minimize carbon emissions,

EMS-FL: Federated Tuning of Mixture-of-Experts in Satellite-Terrestrial Networks via Expert-Driven Model Splitting

• Combines Mixture‑of‑Experts (MoE) with satellite‑terrestrial networks (STN) to overcome data scarcity and compute limits in federated learning. • Introduces EMS‑FL, an expert‑dri

Federated Learning-Assisted Optimization of Mobile Transmission with Digital Twins

• Federated learning framework enables mobile transmission scheduling while preserving device privacy. • Three energy‑constrained problems tackled: minimize transmission time, fixe