Invited Paper: Enhancing Privacy in Federated Learning via Early Exit-Reference-Cited by-同舟云学术

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Invited Paper: Enhancing Privacy in Federated Learning via Early Exit

Published:2023-06-19 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 5th workshop on Advanced tools, programming languages, and PLatforms for Implementing and Evaluating algorithms for Distributed systems
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Author:

Wu Yashuo¹^ORCID,Chiasserini Carla Fabiana²^ORCID,Malandrino Francesco³^ORCID,Levorato Marco⁴^ORCID

Affiliation:

1. University of California, Irvine, Irvine, CA, United States

2. Politecnico di Torino, Torino, Italy

3. CNR-IEIIT, Torino, Italy

4. University of California, Irvine, Irvine, United States of America

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3584684.3597274

Reference23 articles.

1. 2019. TensorFlow Privacy https://github.com/tensorflow/privacy. 2019. TensorFlow Privacy https://github.com/tensorflow/privacy.

2. Kaiming He Xiangyu Zhang Shaoqing Ren and Jian Sun. 2015. Deep Residual Learning for Image Recognition. arXiv:1512.03385 [cs.CV] Kaiming He Xiangyu Zhang Shaoqing Ren and Jian Sun. 2015. Deep Residual Learning for Image Recognition. arXiv:1512.03385 [cs.CV]

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