38 citations · 85 across the 28 of their papers we have counts for
4 papers · 1 filter
Optimized Power Control for Over-the-Air Federated Edge Learning
Xiaowen Cao, Guangxu Zhu, Jie Xu +1
Over-the-air federated edge learning (Air-FEEL) is a communication-efficient solution for privacy-preserving distributed learning over wireless networks. Air-FEEL allows "one-shot"…
Over-the-Air Computing for Wireless Data Aggregation in Massive IoT
Guangxu Zhu, Jie Xu, Kaibin Huang +1
Wireless data aggregation (WDA), referring to aggregating data distributed at devices (e.g., sensors and smartphone), is a common operation in 5G-and-beyond machine-type communicat…
Cooperative Interference Management for Over-the-Air Computation Networks
Xiaowen Cao, Guangxu Zhu, Jie Xu +1
This paper considers a multi-cell AirComp network and investigates the optimal power control policies over multiple cells to regulate the effect of inter-cell interference. First,…
One-Bit Over-the-Air Aggregation for Communication-Efficient Federated Edge Learning: Design and Convergence Analysis
Guangxu Zhu, Yuqing Du, Deniz Gunduz +1
Federated edge learning (FEEL) is a popular framework for model training at an edge server using data distributed at edge devices (e.g., smart-phones and sensors) without compromis…