TH1.AUD: From Distributed to Federated Learning over Networks
Thu, 29 Aug, 10:30 - 12:30 France Time (UTC +2)
Location: Auditorium
Session Type: Lecture
Session Chair: Cedric Richard, Universite Cote d’Azur
Track: Special Sessions
Thu, 29 Aug, 10:30 - 10:50 France Time (UTC +2)

TH1.AUD.1: PRIVACY-PRESERVING DISTRIBUTED NONNEGATIVE MATRIX FACTORIZATION
Ehsan Lari, Norwegian University of Science and Technology, Norway; Reza Arablouei, Commonwealth Scientific and Industrial Research Organisation, Australia; Stefan Werner, Norwegian University of Science and Technology, Norway
Thu, 29 Aug, 10:50 - 11:10 France Time (UTC +2)

TH1.AUD.2: Analysis of Total Variation Minimization for Clustered Federated Learning
Alexander Jung, Aalto University, Finland
Thu, 29 Aug, 11:10 - 11:30 France Time (UTC +2)

TH1.AUD.3: ADAPTIVE SOCIAL LEARNING FOR TRACKING RARE TRANSITION MARKOV CHAINS
Malek Khammassi, Virginia Bordignon, EPFL, Switzerland; Vincenzo Matta, University of Salerno, Italy; Ali H. Sayed, EPFL, Switzerland
Thu, 29 Aug, 11:30 - 11:50 France Time (UTC +2)

TH1.AUD.4: Communication-efficient Vertical Federated Learning via Compressed Error Feedback
Pedro Valdeira, Carnegie Mellon University & Universidade de Lisboa, Portugal; João Xavier, Universidade de Lisboa, Portugal; Cláudia Soares, Universidade Nova de Lisboa, Portugal; Yuejie Chi, Carnegie Mellon University, United States
Thu, 29 Aug, 11:50 - 12:10 France Time (UTC +2)

TH1.AUD.5: Online Parameter Estimation Over Distributed Multitask Networks With A Rank-one Model
Yitong Chen, School of Marine Science and Technolgy, Northwestern Polytechnical University, China; Danqi Jin, School of Electronic Information, Wuhan University, China; Jie Chen, School of Marine Science and Technolgy, Northwestern Polytechnical University, China; Cedric Richard, Universite Cote d’Azur, France; Wen Zhang, School of Marine Science and Technolgy, Northwestern Polytechnical University, China; Gongping Huang, School of Electronic Information, Wuhan University, China; Jingdong Chen, School of Marine Science and Technolgy, Northwestern Polytechnical University, China
Thu, 29 Aug, 12:10 - 12:30 France Time (UTC +2)

TH1.AUD.6: Learned Finite-Time Consensus for Distributed Optimization
Aaron Fainman, Stefan Vlaski, Imperial College London, United Kingdom