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"HED-FL: A hierarchical, energy efficient, and dynamic approach for edge ..."

Floriano De Rango et al. (2023)

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DOI: 10.1016/J.PMCJ.2023.101804

access: open

type: Journal Article

metadata version: 2023-09-12

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  dblp key:
  - journals/percom/RangoGRS23
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  - https://dblp.org/rec/journals/percom/RangoGRS23
Floriano De Rango, Antonio Guerrieri, Pierfrancesco Raimondo, Giandomenico Spezzano:
HED-FL: A hierarchical, energy efficient, and dynamic approach for edge Federated Learning. Pervasive Mob. Comput. 92: 101804 (2023)

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