Design of a federated learning algorithm for power big data privacy computing based on pruning technique and homomorphic encryption

Weijian Zhang; Li Di; Jing Zhang; Boyu Liu; Xinyan Wang

doi:10.1016/j.eij.2025.100828

Q1 2025

Design of a federated learning algorithm for power big data privacy computing based on pruning technique and homomorphic encryption

Weijian Zhang · Li Di · Jing Zhang · Boyu Liu · Xinyan Wang

10.1016/j.eij.2025.100828 391 Views 2 Citations

Citations

391

Views

Abstract not available for this publication.

Cite this Article (APA)

Weijian, Z., Li, D., Jing, Z., Boyu, L., Xinyan, W. (2025). Design of a federated learning algorithm for power big data privacy computing based on pruning technique and homomorphic encryption. Egyptian Informatics Journal. https://doi.org/10.1016/j.eij.2025.100828

Hassan, N.; Al-Khatib, M.; Zeki, A. · 2023

cites

1,896

Blockchain-based secure electronic health records in Egypt

Nour, A.; El-Shenawy, H. · 2023

cites

2,385

Machine learning for predicting water quality in Nile River tributaries

Ibrahim, T.; Khalil, M.; Hassan, R. · 2024

cites

894

A robust deep learning pipeline for multi-class cervical cancer cell identification