Federated Learning and Transfer Learning

• 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)*