3 citations · 3 across the 1 of their papers we have counts for
2 papers
cs.LG2026★ 3 cited
Understanding Large Language Models in Your Pockets: Performance Study on COTS Mobile Devices
Jie Xiao, Qianyi Huang, Xu Chen +1
As large language models (LLMs) increasingly integrate into every aspect of our work and daily lives, there are growing concerns about user privacy, which push the trend toward loc…
cs.LG2024
IMFL-AIGC: Incentive Mechanism Design for Federated Learning Empowered by Artificial Intelligence Generated Content
Guangjing Huang, Qiong Wu, Jingyi Li +1
Federated learning (FL) has emerged as a promising paradigm that enables clients to collaboratively train a shared global model without uploading their local data. To alleviate the…