WE2.R2: Semi-supervised and Federated Learning
Wed, 10 Jul, 11:30 - 12:50
Location: Ypsilon I-II-III
Session Chair: Gholamali Aminian, Alan Turing Institute
Track: 8: Machine Learning
Wed, 10 Jul, 11:30 - 11:50

WE2.R2.1: Fast FixMatch: Faster Semi-Supervised Learning with Curriculum Batch Size
John Chen, Chen Dun, Anastasios Kyrillidis, Rice University, United States
Wed, 10 Jul, 11:50 - 12:10

WE2.R2.2: Robust Semi-supervised Learning via f-Divergence and ɑ-Rényi Divergence
Gholamali Aminian, The Alan Turing Institute, United Kingdom; Amirhossien Bagheri, Sharif University Technology, Iran; Mahyar JafariNodeh, Massachusetts Institute of Technology, United States; Radmehr Karimian, Mohammad-Hossein Yassaee, Sharif University Technology, Iran
Wed, 10 Jul, 12:10 - 12:30

WE2.R2.3: Fed-IT: Addressing Class Imbalance in Federated Learning through an Information-Theoretic Lens
Shayan Mohajer Hamidi, Renhao Tan, Linfeng Ye, En-Hui Yang, University of Waterloo, Canada
Wed, 10 Jul, 12:30 - 12:50

WE2.R2.4: Efficient Unbiased Sparsification
Leighton Barnes, Timothy Chow, Emma Cohen, Keith Frankston, Benjamin Howard, Fred Kochman, Daniel Scheinerman, Jeffrey VanderKam, Center for Communications Research - Princeton, United States