A Cost-effective Framework for Privacy Preserving Federated Learning
Author:
Affiliation:
1. Computer Science and Engineering, Indian Institute of Technology Bhubaneswar, India
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3631461.3631955
Reference21 articles.
1. Distributed learning on 20 000+ lung cancer patients – The Personal Health Train
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3. Medical research, Big Data and the need for privacy by design
4. Qiongxiu Li and Mads Græsbøll Christensen. 2019. A privacy-preserving asynchronous averaging algorithm based on shamir’s secret sharing. In 2019 27th European Signal Processing Conference (EUSIPCO). IEEE, 1–5.
5. Differentially private Naive Bayes learning over multiple data sources
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