3 papers
cs.LG2025
Energy-Efficient Federated Learning for Edge Real-Time Vision via Joint Data, Computation, and Communication Design
Xiangwang Hou, Jingjing Wang, Fangming Guan +3
Emerging real-time computer vision (CV) applications on wireless edge devices demand energy-efficient and privacy-preserving learning. Federated learning (FL) enables on-device tra…
cs.DC2025
Lightweight Federated Learning over Wireless Edge Networks
Xiangwang Hou, Jingjing Wang, Jun Du +3
With the exponential growth of smart devices connected to wireless networks, data production is increasing rapidly, requiring machine learning (ML) techniques to unlock its value.…
cs.IT2025
Resolution Limits of Non-Adaptive 20 Questions Estimation for Tracking Multiple Moving Targets
Chunsong Sun, Lin Zhou, Jingjing Wang +3
Motivated by the practical application of beam tracking of multiple devices in Multiple Input Multiple Output (MIMO) communication, we study the problem of non-adaptive twenty ques…