5 citations · 10 across the 4 of their papers we have counts for
4 papers
Efficient Federated Learning with Spike Neural Networks for Traffic Sign Recognition
Kan Xie, Zhe Zhang, Bo Li +4
With the gradual popularization of self-driving, it is becoming increasingly important for vehicles to smartly make the right driving decisions and autonomously obey traffic rules…
6G-enabled Edge AI for Metaverse: Challenges, Methods, and Future Research Directions
Luyi Chang, Zhe Zhang, Pei Li +8
6G-enabled edge intelligence opens up a new era of Internet of Everything and makes it possible to interconnect people-devices-cloud anytime, anywhere. More and more next-generatio…
Robust Semi-supervised Federated Learning for Images Automatic Recognition in Internet of Drones
Zhe Zhang, Shiyao Ma, Zhaohui Yang +5
Air access networks have been recognized as a significant driver of various Internet of Things (IoT) services and applications. In particular, the aerial computing network infrastr…
Semi-Supervised Federated Learning with non-IID Data: Algorithm and System Design
Zhe Zhang, Shiyao Ma, Jiangtian Nie +4
Federated Learning (FL) allows edge devices (or clients) to keep data locally while simultaneously training a shared high-quality global model. However, current research is general…