WP2.L304.1
FAST-CONVERGENT FEDERATED LEARNING VIA CYCLIC AGGREGATION
Youngjoon Lee, Korea Advanced Institute of Science and Technology, Korea, Republic of; Sangwoo Park, King’s College London, United Kingdom of Great Britain and Northern Ireland; Joonhyuk Kang, Korea Advanced Institute of Science and Technology, Korea, Republic of
Session:
WP2.L304: Machine Learning for Computational Imaging Lecture
Track:
Applications of Machine Learning
Location:
Room 304
Presentation Time:
Wed, 11 Oct, 16:30 - 16:48 Malaysia Time (UTC +8)
Session Chair:
James E. Fowler, Mississippi State University
Session WP2.L304
WP2.L304.1: FAST-CONVERGENT FEDERATED LEARNING VIA CYCLIC AGGREGATION
Youngjoon Lee, Korea Advanced Institute of Science and Technology, Korea, Republic of; Sangwoo Park, King’s College London, United Kingdom of Great Britain and Northern Ireland; Joonhyuk Kang, Korea Advanced Institute of Science and Technology, Korea, Republic of
WP2.L304.3: SINGLE IMAGE LDR TO HDR CONVERSION USING CONDITIONAL DIFFUSION
Dwip Dalal, Gautam Vashishtha, Prajwal Singh, Shanmuganathan Raman, Indian Institute of Technology Gandhinagar, India
WP2.L304.4: Conditional Injective Flows for Bayesian Imaging
AmirEhsan Khorashadizadeh, University of Basel, Switzerland; Konik Kothari, University of Illinois at Urbana-Champaign, United States of America; Leonardo Salsi, University of Basel, Switzerland; Ali Aghababaei Harandi, Sharif University of Technology, Iran (Islamic Republic of); Maarten de Hoop, Rice University, United States of America; Ivan Dokmanić, University of Basel & University of Illinois at UrbanaChampaign, Switzerland
Contacts