Evaluating Federated Learning with Homomorphic Encryption for Medical Named Entity Recognition Using Compact BERT Models

Marcos Felipe Rezende, Rodrigo Silva, Eduardo Luz, Pedro Silva


Anthology ID:
2024.stil-1.9
Volume:
Proceedings of the 15th Brazilian Symposium in Information and Human Language Technology
Month:
Year:
2024
Address:
Belém do Pará, Brazil
Editors:
Daniela Barreiro Claro, Adriana Pagano
Venues:
STIL | WS
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
86–94
Language:
URL:
https://aclanthology.org/2024.stil-1.9/
DOI:
Bibkey:
Cite (ACL):
Marcos Felipe Rezende, Rodrigo Silva, Eduardo Luz, and Pedro Silva. 2024. Evaluating Federated Learning with Homomorphic Encryption for Medical Named Entity Recognition Using Compact BERT Models. In Proceedings of the 15th Brazilian Symposium in Information and Human Language Technology, pages 86–94, Belém do Pará, Brazil. Association for Computational Linguistics.
Cite (Informal):
Evaluating Federated Learning with Homomorphic Encryption for Medical Named Entity Recognition Using Compact BERT Models (Rezende et al., STIL 2024)
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PDF:
https://aclanthology.org/2024.stil-1.9.pdf