Federated Learning and Transfer Learning
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Regularized Mutual Learning for Personalized Federated Learning
Ruihong Yang (Southern University of Science and Technology)*; Junchao Tian (Southern University of Science and Technology); Yu Zhang (Southern University of Science and Technology) -
On the benefits of representation regularization in invariance based domain generalization
Changjian Shui (Université Laval)*; Boyu Wang (University of Western Ontario); Christian Gagné (Université Laval) -
Transfer Learning with Adaptive Online TrAdaBoost for Data Streams
Ocean Wu (The University of Auckland)*; Yun Sing Koh (The University of Auckland, New Zealand); Gillian Dobbie ("Univ. of Auckland, New Zealand"); Thomas Lacombe (The University of Auckland) -
Domain Adaptive YOLO for One-Stage Cross-Domain Detection
Shizhao Zhang (Shanghai Jiao Tong University); Hongya Tuo (Shanghai Jiaotong University); Jian Hu (Shanghai Jiaotong University); Zhongliang Jing (Shanghai Jiaotong University)*