DealSecAgg: Efficient Dealer-Assisted Secure Aggregation for Federated Learning
Author:
Affiliation:
1. Universität Hamburg, Germany
2. ZAMA, France
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3664476.3670873
Reference47 articles.
1. Hacking smart machines with smarter ones: How to extract meaningful data from machine learning classifiers
2. Nathalie Baracaldo and Runhua Xu. 2022. Protecting Against Data Leakage in Federated Learning: What Approach Should You Choose? In Federated Learning: A Comprehensive Overview of Methods and Applications. Springer, 281–312.
3. Commodity-based cryptography (extended abstract)
4. Server-assisted cryptography
5. James Henry Bell Kallista A. Bonawitz Adrià Gascón Tancrède Lepoint and Mariana Raykova. 2020. Secure Single-Server Aggregation with (Poly)Logarithmic Overhead. In CCS. 1253–1269.
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