"Federated learning meets few-shot learning: A voting ensemble based ..."

Md Zahin Muntaqim et al. (2025)

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DOI: 10.1016/J.ARRAY.2025.100516

access: open

type: Journal Article

metadata version: 2025-11-15

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Md Zahin Muntaqim, Tangin Amir Smrity, Hasan Muhammad Kafi, Abu Saleh Musa Miah, Fahmid Al Farid, Hezerul Abdul Karim, Anichur Rahman:
Federated learning meets few-shot learning: A voting ensemble based combined approach to cauliflower leaf disease classification across Non-IID data distributions. Array 28: 100516 (2025)

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