Communication Efficient and Differentially Private Logistic Regression under the Distributed Setting-Reference-Cited by-同舟云学术

Communication Efficient and Differentially Private Logistic Regression under the Distributed Setting

Published:2023-08-04 Issue: Volume: Page:
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Container-title:Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
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Author:

Bao Ergute¹^ORCID,Gao Dawei²^ORCID,Xiao Xiaokui¹^ORCID,Li Yaliang³^ORCID

Affiliation:

1. National University of Singapore, Singapore, Singapore

2. Alibaba Group, Beijing, China

3. Alibaba Group, Bellevue, USA

Funder

National Research Foundation Singapore

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3580305.3599279

Reference67 articles.

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3. Naman Agarwal , Peter Kairouz , and Ziyu Liu . 2021. The Skellam Mechanism for Differentially Private Federated Learning . In NeurIPS 2021 . 5052--5064. Naman Agarwal, Peter Kairouz, and Ziyu Liu. 2021. The Skellam Mechanism for Differentially Private Federated Learning. In NeurIPS 2021. 5052--5064.

4. Naman Agarwal , Ananda Theertha Suresh , Felix Yu, Sanjiv Kumar, and H. Brendan McMahan. 2018 . CpSGD: Communication- Efficient and Differentially-Private Distributed SGD. In NeurIPS. 7575--7586. Naman Agarwal, Ananda Theertha Suresh, Felix Yu, Sanjiv Kumar, and H. Brendan McMahan. 2018. CpSGD: Communication-Efficient and Differentially-Private Distributed SGD. In NeurIPS. 7575--7586.

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