Distributed multi-task classification: a decentralized online learning approach

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...

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Veröffentlicht in:	Machine learning 2018-04, Vol.107 (4), p.727-747
Hauptverfasser:	Zhang, Chi, Zhao, Peilin, Hao, Shuji, Soh, Yeng Chai, Lee, Bu Sung, Miao, Chunyan, Hoi, Steven C. H.
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial Intelligence Classifiers Computer networks Computer Science Control Convergence Distance learning Machine learning Mechatronics Natural Language Processing (NLP) Robotics Simulation and Modeling Stress concentration
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