Lung Nodule Segmentation Using Federated Active Learning

Author:

Tenescu Andrei1ORCID,Avramescu Cristian1ORCID,Bercean Bogdan1ORCID,Marcu Marius1ORCID

Affiliation:

1. Politehnica University of Timisoara, Romania

Publisher

ACM

Reference29 articles.

1. 2020. Papers with Code - LUNA Dataset. https://paperswithcode.com/dataset/luna 2020. Papers with Code - LUNA Dataset. https://paperswithcode.com/dataset/luna

2. Durmus Alp Emre Acar , Yue Zhao , Ramon Matas , Matthew Mattina , Paul Whatmough , and Venkatesh Saligrama . 2021 . Federated Learning Based on Dynamic Regularization. In International Conference on Learning Representations. https://openreview.net/forum?id=B7v4QMR6Z9w Durmus Alp Emre Acar, Yue Zhao, Ramon Matas, Matthew Mattina, Paul Whatmough, and Venkatesh Saligrama. 2021. Federated Learning Based on Dynamic Regularization. In International Conference on Learning Representations. https://openreview.net/forum?id=B7v4QMR6Z9w

3. Durmus Alp Emre Acar Yue Zhao Ramon Matas Matthew Mattina Paul Whatmough and Venkatesh Saligrama. 2023. Federated Learning Based on Dynamic Regularization. https://openreview.net/forum?id=B7v4QMR6Z9w Durmus Alp Emre Acar Yue Zhao Ramon Matas Matthew Mattina Paul Whatmough and Venkatesh Saligrama. 2023. Federated Learning Based on Dynamic Regularization. https://openreview.net/forum?id=B7v4QMR6Z9w

4. Jin-Hyun Ahn , Kyung Sang Kim , Jeongwan Koh , and Quanzheng Li. 2022. Federated Active Learning (F-AL): an Efficient Annotation Strategy for Federated Learning. CoRR abs/2202.00195 ( 2022 ). arXiv:2202.00195https://arxiv.org/abs/2202.00195 Jin-Hyun Ahn, Kyung Sang Kim, Jeongwan Koh, and Quanzheng Li. 2022. Federated Active Learning (F-AL): an Efficient Annotation Strategy for Federated Learning. CoRR abs/2202.00195 (2022). arXiv:2202.00195https://arxiv.org/abs/2202.00195

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