9 citations · 9 across the 4 of their papers we have counts for
4 papers
Federated Fine-Tuning for Pre-Trained Foundation Models Over Wireless Networks
Zixin Wang, Yong Zhou, Yuanming Shi +1
Pre-trained foundation models (FMs), with extensive number of neurons, are key to advancing next-generation intelligence services, where personalizing these models requires massive…
Machine Learning for Large-Scale Optimization in 6G Wireless Networks
Yandong Shi, Lixiang Lian, Yuanming Shi +6
The sixth generation (6G) wireless systems are envisioned to enable the paradigm shift from "connected things" to "connected intelligence", featured by ultra high density, large-sc…
Trustworthy Federated Learning via Blockchain
Zhanpeng Yang, Yuanming Shi, Yong Zhou +2
The safety-critical scenarios of artificial intelligence (AI), such as autonomous driving, Internet of Things, smart healthcare, etc., have raised critical requirements of trustwor…
Knowledge-Guided Learning for Transceiver Design in Over-the-Air Federated Learning
Yinan Zou, Zixin Wang, Xu Chen +2
In this paper, we consider communication-efficient over-the-air federated learning (FL), where multiple edge devices with non-independent and identically distributed datasets perfo…