Fast Secure Aggregation With High Dropout Resilience for Federated Learning

AAIA: an efficient aggregation scheme against inverting attack for federated learning

(2023) Zhen Yang et al.   International Journal of Information Security

HeteroSAg: Secure Aggregation with Heterogeneous Quantization in Federated Learning

(2022) Ahmed Roushdy Elkordy et al.   IEEE TRANSACTIONS ON COMMUNICATIONS

Aggregation Service for Federated Learning: An Efficient, Secure, and More Resilient Realization

(2022) Yifeng Zheng et al.   IEEE Transactions on Dependable and Secure Computing

Privacy‐preserving federated learning based on multi‐key homomorphic encryption

(2022) Jing Ma et al.   INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS

Practical Private Aggregation in Federated Learning Against Inference Attack

(2022) Ping Zhao et al.   IEEE Internet of Things Journal

Efficient and Secure Federated Learning With Verifiable Weighted Average Aggregation

(2022) Zhen Yang et al.   IEEE Transactions on Network Science and Engineering

A Survey on Federated Learning Systems: Vision, Hype and Reality for Data Privacy and Protection

(2021) Qinbin Li et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

VFL: A Verifiable Federated Learning With Privacy-Preserving for Big Data in Industrial IoT

(2020) Anmin Fu et al.   IEEE Transactions on Industrial Informatics

Privacy-Preserving Deep Learning via Additively Homomorphic Encryption

(2018) Le Trieu Phong et al.   IEEE Transactions on Information Forensics and Security