39 citations · 40 across the 2 of their papers we have counts for
2 papers
cs.LG2023★ 1 cited
Peer-to-Peer Federated Continual Learning for Naturalistic Driving Action Recognition
Liangqi Yuan, Yunsheng Ma, Lu Su +1
Naturalistic driving action recognition (NDAR) has proven to be an effective method for detecting driver distraction and reducing the risk of traffic accidents. However, the intrus…
cs.LG2023★ 39 cited
Federated Transfer-Ordered-Personalized Learning for Driver Monitoring Application
Liangqi Yuan, Lu Su, Ziran Wang
Federated learning (FL) shines through in the internet of things (IoT) with its ability to realize collaborative learning and improve learning efficiency by sharing client model pa…