Quality Inference in Federated Learning With Secure Aggregation-Reference-Cited by-同舟云学术

Quality Inference in Federated Learning With Secure Aggregation

Published:2023-10 Issue:5 Volume:9 Page:1430-1437
ISSN:2332-7790
Container-title:IEEE Transactions on Big Data
language:
Short-container-title:IEEE Trans. Big Data

Author:

Pejó Balázs¹^ORCID,Biczók Gergely¹^ORCID

Affiliation:

1. CrySyS Lab, Department of Networked Systems and Services, Faculty of Electrical Engineering and Informatics, Budapest University of Technology and Economics, Budapest, Hungary

Funder

European Commission

Ministry of Innovation and Technology

Nemzeti Kutatási, Fejlesztési és Innovaciós Alap

FK_21 funding scheme

Ministry of Culture and Innovation of Hungary

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Information Systems and Management,Information Systems

Link

http://xplorestaging.ieee.org/ielx7/6687317/10236926/10138056.pdf?arnumber=10138056

Reference57 articles.

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2. Semi-supervised knowledge transfer for deep learning from private training data;papernot,2016

3. k-ANONYMITY: A MODEL FOR PROTECTING PRIVACY

4. Beyond Inferring Class Representatives: User-Level Privacy Leakage From Federated Learning

5. A Principled Approach to Data Valuation for Federated Learning

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