136 citations · 158 across the 8 of their papers we have counts for
Showing 2023Show all
3 papers · 1 filter
cs.LG2023★ 3 cited
Exploring Federated Unlearning: Review, Comparison, and Insights
Yang Zhao, Jiaxi Yang, Yiling Tao +4
The increasing demand for privacy-preserving machine learning has spurred interest in federated unlearning, which enables the selective removal of data from models trained in feder…
cs.NI2023★ 9 cited
Generative AI-enabled Vehicular Networks: Fundamentals, Framework, and Case Study
Ruichen Zhang, Ke Xiong, Hongyang Du +4
Recognizing the tremendous improvements that the integration of generative AI can bring to intelligent transportation systems, this article explores the integration of generative A…
cs.DC2023★ 6 cited
Exploring Collaborative Distributed Diffusion-Based AI-Generated Content (AIGC) in Wireless Networks
Hongyang Du, Ruichen Zhang, Dusit Niyato +6
Driven by advances in generative artificial intelligence (AI) techniques and algorithms, the widespread adoption of AI-generated content (AIGC) has emerged, allowing for the genera…