Federated Genetic Algorithm: Two-Layer Privacy-Preserving Trajectory Data Publishing
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Ge, Yong-Feng 
ORCID: 0000-0002-5955-6295 (external link), Wang, Hua ORCID: 0000-0002-8465-0996 (external link), Cao, Jinli ORCID: 0000-0002-0221-6361 (external link), Zhang, Yanchun ORCID: 0000-0002-5094-5980 (external link) and Kambourakis, Georgios ORCID: 0000-0001-6348-5031 (external link)
(2024)
Federated Genetic Algorithm: Two-Layer Privacy-Preserving Trajectory Data Publishing.
In: GECCO 2024 : The Genetic and Evolutionary Computation Conference, 14 July 2024 - 18 July 2024, Melbourne, VIC, Australia.
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| Item type | Conference or Workshop Item (Paper) |
| URI | https://vuir.vu.edu.au/id/eprint/49046 |
| DOI | 10.1145/3638529.3654200 (external link) |
| Official URL | https://dl.acm.org/doi/10.1145/3638529.3654200 (external link) |
| ISBN | 9798400704949 |
| Subjects | Current > FOR (2020) Classification > 4604 Cybersecurity and privacy Current > Division/Research > Institute for Sustainable Industries and Liveable Cities |
| Download/View statistics | View download statistics for this item |
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