Toward TinyDPFL systems for real-time cardiac healthcare: Trends, challenges, and system-level perspectives on AI algorithms, hardware, and edge intelligence.

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Title: Toward TinyDPFL systems for real-time cardiac healthcare: Trends, challenges, and system-level perspectives on AI algorithms, hardware, and edge intelligence.
Authors: Akram, Muhammad Shakeel1, akram-ms@ulster.ac.uk, Varma, Bogaraju Sharatchandra1, Javed, Aqib2, Harkin, Jim2, Finlay, Dewar1
Source: Journal of Systems Architecture; Nov2025, Vol. 168, pN.PAG-N.PAG, 1p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 188929393
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
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PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=188929393
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      – Type: doi
        Value: 10.1016/j.sysarc.2025.103587
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      – Code: eng
        Text: English
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      – TitleFull: Toward TinyDPFL systems for real-time cardiac healthcare: Trends, challenges, and system-level perspectives on AI algorithms, hardware, and edge intelligence.
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            NameFull: Akram, Muhammad Shakeel
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            NameFull: Varma, Bogaraju Sharatchandra
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            – D: 01
              M: 11
              Text: Nov2025
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              Y: 2025
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              Value: 168
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