3 papers
cs.LG2026
DeepFusion: Accelerating MoE Training via Federated Knowledge Distillation from Heterogeneous Edge Devices
Songyuan Li, Jia Hu, Ahmed M. Abdelmoniem +3
Recent Mixture-of-Experts (MoE)-based large language models (LLMs) such as Qwen-MoE and DeepSeek-MoE are transforming generative AI in natural language processing. However, these m…
cs.AI2025
Dynamic Pricing for On-Demand DNN Inference in the Edge-AI Market
Songyuan Li, Jia Hu, Geyong Min +2
The convergence of edge computing and Artificial Intelligence (AI) gives rise to Edge-AI, which enables the deployment of real-time AI applications at the network edge. A key resea…
cs.LG2025
A Service-Oriented Adaptive Hierarchical Incentive Mechanism for Federated Learning
Jiaxing Cao, Yuzhou Gao, Jiwei Huang
Recently, federated learning (FL) has emerged as a novel framework for distributed model training. In FL, the task publisher (TP) releases tasks, and local model owners (LMOs) use…