Data Collaboration Analysis Framework Using Centralization of Individual Intermediate Representations for Distributed Data Sets-Reference-Cited by-同舟云学术

Data Collaboration Analysis Framework Using Centralization of Individual Intermediate Representations for Distributed Data Sets

Published:2020-06 Issue:2 Volume:6 Page:04020018
ISSN:2376-7642
Container-title:ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
language:en
Short-container-title:ASCE-ASME J. Risk Uncertainty Eng. Syst., Part A: Civ. Eng.

Author:

Imakura Akira¹^ORCID,Sakurai Tetsuya²

Affiliation:

1. Associate Professor, Dept. of Computer Science, Univ. of Tsukuba, 1-1-1 Tennodai, Tsukuba, Ibaraki 305-8573, Japan (corresponding author). ORCID: .

2. Professor, Dept. of Computer Science, Univ. of Tsukuba, 1-1-1 Tennodai, Tsukuba, Ibaraki 305-8573, Japan.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Safety, Risk, Reliability and Quality,Building and Construction,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/AJRUA6.0001058

Reference32 articles.

1. Abadi M. A. Chu I. Goodfellow H. B. McMahan I. Mironov K. Talwar and L. Zhang. 2016. “Deep learning with differential privacy.” In Proc. 2016 ACM SIGSAC Conf. on Computer and Communications Security 308–318. New York: Association for Computing Machinery.

2. Chillotti I. N. Gama M. Georgieva and M. Izabachene. 2016. “Faster fully homomorphic encryption: Bootstrapping in less than 0.1 seconds.” In Proc. Int. Conf. on the Theory and Application of Cryptology and Information Security 3–33. Berlin: Springer.

3. Secure genome-wide association analysis using multiparty computation

4. Dwork C. 2006. “Differential privacy.” In Vol. 4052 of Automata Languages and Programming. ICALP 2006. Lecture Notes in Computer Science edited by M. Bugliesi B. Preneel V. Sassone and I. Wegener. Berlin: Springer.

Cited by 20 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Vertical Federated Learning: Concepts, Advances, and Challenges;IEEE Transactions on Knowledge and Data Engineering;2024-07

2. Collaborative causal inference on distributed data;Expert Systems with Applications;2024-06

3. Toward the Application of Differential Privacy to Data Collaboration;IEEE Access;2024

4. Numerical Analysis for Data Relationship;Advanced Mathematical Science for Mobility Society;2024

5. Non-readily identifiable data collaboration analysis for multiple datasets including personal information;Information Fusion;2023-10