Robotics & Machine Learning Daily News2024,Issue(MAY.7) :95-96.

Researchers from Shanghai Jiao Tong University Detail Findings in Machine Learni ng (Multi-consensus Decentralized Primal-dual Fixed Point Algorithm for Distribu ted Learning)

Robotics & Machine Learning Daily News2024,Issue(MAY.7) :95-96.

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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Abstract

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).

Key words

Shanghai/People’s Republic of China/As ia/Algorithms/Cyborgs/Emerging Technologies/Machine Learning/Shanghai Jiao Tong University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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