Robotics & Machine Learning Daily News2024,Issue(Jan.12) :27-28.

Investigators at Shenzhen University Describe Findings in Intelligent Systems (Fedisp: an Incremental Subgradient-proximal-based Ringtype Architecture for Decentralized Federated Learning)

Robotics & Machine Learning Daily News2024,Issue(Jan.12) :27-28.

Investigators at Shenzhen University Describe Findings in Intelligent Systems (Fedisp: an Incremental Subgradient-proximal-based Ringtype Architecture for Decentralized Federated Learning)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Machine Learning - Intelligent Systems have been published.According to news reporting from Shenzhen, People’s Republic of China, by NewsRx journalists, researchstated, “Federated learning (FL) represents a promising distributed machine learning paradigm for resolvingdata isolation due to data privacy concerns. Nevertheless, most vanilla FL algorithms, which depend on aserver, encounter the problem of reliability and a high communication burden in real cases.”

Key words

Shenzhen/People’s Republic of China/Asia/Intelligent Systems/Machine Learning/Shenzhen University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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