首页|Researchers from Shanghai Jiao Tong University Detail Findings in Machine Learni ng (Multi-consensus Decentralized Primal-dual Fixed Point Algorithm for Distribu ted Learning)
Researchers from Shanghai Jiao Tong University Detail Findings in Machine Learni ng (Multi-consensus Decentralized Primal-dual Fixed Point Algorithm for Distribu ted Learning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Investigators discuss new findings in Machine Lea rning. According to news reporting from Shanghai, People’s Republic of China, by NewsRx journalists, research stated, “Decentralized distributed learning has re cently attracted significant attention in many applications in machine learning and signal processing. To solve a decentralized optimization with regularization , we propose a Multi-consensus Decentralized Primal-Dual Fixed Point (MD-PDFP) a lgorithm.” Financial support for this research came from National Natural Science Foundatio n of China (NSFC).
ShanghaiPeople’s Republic of ChinaAs iaAlgorithmsCyborgsEmerging TechnologiesMachine LearningShanghai Jiao Tong University