Adversarial Bi-Regressor Network for Domain Adaptive Regression

no code implementations • 20 Sep 2022 • Haifeng Xia, Pu, Wang, Toshiaki Koike-Akino, Ye Wang, Philip Orlik, Zhengming Ding

Domain adaptation (DA) aims to transfer the knowledge of a well-labeled source domain to facilitate unlabeled target learning.

Domain Adaptation regression

Mobility, Communication and Computation Aware Federated Learning for Internet of Vehicles

no code implementations • 17 May 2022 • Md Ferdous Pervej, Jianlin Guo, Kyeong Jin Kim, Kieran Parsons, Philip Orlik, Stefano Di Cairano, Marcel Menner, Karl Berntorp, Yukimasa Nagai, Huaiyu Dai

To take the high mobility of vehicles into account, we consider the delay as a learning parameter and restrict it to be less than a tolerable threshold.

Federated Learning