3 citations · 7 across the 4 of their papers we have counts for
4 papers
Tuning Pre-trained Model via Moment Probing
Mingze Gao, Qilong Wang, Zhenyi Lin +3
Recently, efficient fine-tuning of large-scale pre-trained models has attracted increasing research interests, where linear probing (LP) as a fundamental module is involved in expl…
Distributed Over-the-air Computing for Fast Distributed Optimization: Beamforming Design and Convergence Analysis
Zhenyi Lin, Yi Gong, Kaibin Huang
Distributed optimization concerns the optimization of a common function in a distributed network, which finds a wide range of applications ranging from machine learning to vehicle…
Deploying Federated Learning in Large-Scale Cellular Networks: Spatial Convergence Analysis
Zhenyi Lin, Xiaoyang Li, Vincent K. N. Lau +2
The deployment of federated learning in a wireless network, called federated edge learning (FEEL), exploits low-latency access to distributed mobile data to efficiently train an AI…
An Introduction to Communication Efficient Edge Machine Learning
Qiao Lan, Zezhong Zhang, Yuqing Du +2
In the near future, Internet-of-Things (IoT) is expected to connect billions of devices (e.g., smartphones and sensors), which generate massive real-time data at the network edge.…