An Efficient Federated Genetic Programming Framework for Symbolic Regression

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Dong, Junlan, Zhong, Jinghui ORCID: 0000-0003-0113-3430, Chen, Wei-Neng ORCID: 0000-0003-0843-5802 and Zhang, Jun ORCID: 0000-0003-4148-4294 (2023) An Efficient Federated Genetic Programming Framework for Symbolic Regression. IEEE Transactions on Emerging Topics in Computational Intelligence, 7 (3). pp. 858-871. ISSN 2471-285X

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Item type Article
URI https://vuir.vu.edu.au/id/eprint/47157
DOI 10.1109/TETCI.2022.3201299
Official URL https://ieeexplore.ieee.org/document/9881543
Subjects Current > FOR (2020) Classification > 4602 Artificial intelligence
Current > Division/Research > Institute for Sustainable Industries and Liveable Cities
Keywords symbolic regression problem; genetic programming algorithms; mean shift aggregation; data privacy; data protection; federated learning; self-learning gene expression programming
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