6 papers
Communication-Efficient Personalized Adaptation via Federated-Local Model Merging
Yinan Zou, Md Kamran Chowdhury Shisher, Christopher G. Brinton +1
Parameter-efficient fine-tuning methods, such as LoRA, offer a practical way to adapt large vision and language models to client tasks. However, this becomes particularly challengi…
Communication-Efficient Cooperative Localization: A Graph Neural Network Approach
Yinan Zou, Christopher G. Brinton, Vishrant Tripathi
Cooperative localization leverages noisy inter-node distance measurements and exchanged wireless messages to estimate node positions in a wireless network. In communication-constra…
Proximal Gradient-Based Unfolding for Massive Random Access in IoT Networks
Yinan Zou, Yong Zhou, Xu Chen +1
Grant-free random access is an effective technology for enabling low-overhead and low-latency massive access, where joint activity detection and channel estimation (JADCE) is a cri…
Gan-Based Joint Activity Detection and Channel Estimation For Grant-free Random Access
Shuang Liang, Yinan Zou, Yong Zhou
Joint activity detection and channel estimation (JADCE) for grant-free random access is a critical issue that needs to be addressed to support massive connectivity in IoT networks.…
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…
Optimal Receive Beamforming for Over-the-Air Computation
Wenzhi Fang, Yinan Zou, Hongbin Zhu +2
In this paper, we consider fast wireless data aggregation via over-the-air computation (AirComp) in Internet of Things (IoT) networks, where an access point (AP) with multiple ante…