A cloud-edge-end collaborative intelligent caching method based on incremental federated learning algorithms.

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Bibliographic Details
Title: A cloud-edge-end collaborative intelligent caching method based on incremental federated learning algorithms.
Authors: Huang X; China Southern Power Grid Company Limited, Guangzhou, China.; Southern Power Grid Digital Grid Research Institute Co., Ltd, Guangzhou, China., Jin L; China Energy Engineering Group Guangdong Electric Power Design Institute Co. Ltd., Guangzhou, China.; China Power Engineering Consulting Group Limited, Beijing, China., Lin K; China Southern Power Grid Company Limited, Guangzhou, China., Wu W; Southern Power Grid Digital Grid Research Institute Co., Ltd, Guangzhou, China.; Guangdong Provincial Key Laboratory of Digital Grid Technology, Guangzhou, China., Lin Z; Southern Power Grid Digital Grid Research Institute Co., Ltd, Guangzhou, China.; Guangdong Provincial Key Laboratory of Digital Grid Technology, Guangzhou, China.
Source: PloS one [PLoS One] 2026 Jun 03; Vol. 21 (6), pp. e0348359. Date of Electronic Publication: 2026 Jun 03 (Print Publication: 2026).
Publication Type: Journal Article
Journal Info: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE
Database: MEDLINE Ultimate
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