Distributed multi-task classification: A decentralized online learning approach

• Main Authors: ZHANG, Chi, ZHAO, Peilin, HAO, Shuji, SOH, Yeng Chai, LEE, Bu Sung, MIAO, Chunyan, HOI, Steven C. H.
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2018
• Subjects: Decentralized distributed learning; Multi-task learning; Online learning; Classification (of information) Learning systems; Distributed learning; Distributed networks; Learning frameworks; Multiple tasks; Multitask learning; Novel algorithm; Real-world datasets; E-learning; Computer Sciences; Databases and Information Systems; Theory and Algorithms
• Online Access: https://ink.library.smu.edu.sg/sis_research/3841; https://ink.library.smu.edu.sg/context/sis_research/article/4843/viewcontent/Zhang2018_Article_DistributedMulti_taskClassific.pdf
• Institution: Singapore Management University

Although dispersing one single task to distributed learning nodes has been intensively studied by the previous research, multi-task learning on distributed networks is still an area that has not been fully exploited, especially under decentralized settings. The challenge lies in the fact that differ...