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FR-EAHTS: federated reinforcement learning for enhanced task scheduling with hierarchical load balancing and dynamic power adjustment in multi-core systems.

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Title: FR-EAHTS: federated reinforcement learning for enhanced task scheduling with hierarchical load balancing and dynamic power adjustment in multi-core systems.
Authors: Farooq, Mohd1, farooq.mca2014@gmail.com, Zafar, Aasim1, azafar.cs@amu.ac.in, Samad, Abdus1, abdussamadamu@gmail.com
Source: Telecommunication Systems; Jun2025, Vol. 88 Issue 2, p1-23, 23p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 184282701
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PubType: Academic Journal
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  Data: FR-EAHTS: federated reinforcement learning for enhanced task scheduling with hierarchical load balancing and dynamic power adjustment in multi-core systems.
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  Data: <searchLink fieldCode="JN" term="%22Telecommunication+Systems%22">Telecommunication Systems</searchLink>; Jun2025, Vol. 88 Issue 2, p1-23, 23p
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      – Type: doi
        Value: 10.1007/s11235-025-01276-0
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      – Code: eng
        Text: English
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        PageCount: 23
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      – TitleFull: FR-EAHTS: federated reinforcement learning for enhanced task scheduling with hierarchical load balancing and dynamic power adjustment in multi-core systems.
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            NameFull: Farooq, Mohd
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            NameFull: Zafar, Aasim
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            NameFull: Samad, Abdus
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              Text: Jun2025
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              Y: 2025
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              Value: 88
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