2 citations · 3 across the 16 of their papers we have counts for
3 papers · 1 filter
Value of Information and Timing-aware Scheduling for Federated Learning
Muhammad Azeem Khan, Howard H. Yang, Zihan Chen +2
Data possesses significant value as it fuels advancements in AI. However, protecting the privacy of the data generated by end-user devices has become crucial. Federated Learning (F…
Joint User Association and Resource Allocation for Adaptive Semantic Communication in 5G and Beyond Networks
Xingqiu He, Chaoqun You, Zihan Chen +4
Semantic communication (SemCom) has emerged as a promising paradigm that leverages Deep Neural Networks (DNNs) to extract task-relevant information, thereby substantially reducing…
The Role of Federated Learning in a Wireless World with Foundation Models
Zihan Chen, Howard H. Yang, Y. C. Tay +2
Foundation models (FMs) are general-purpose artificial intelligence (AI) models that have recently enabled multiple brand-new generative AI applications. The rapid advances in FMs…