A Zeroth-Order Stochastic Gradient Descent Method for Communication-Efficient Federated Learning
Abstract
Federated learning (FL) has emerged as a key paradigm for decentralized data privacy-preserving machine learning. However, substantial communication costs often hinder its practical application, especially as deep learning models scale to m
Fields of Study & Subjects
Privacy-Preserving Technologies in Data
Stochastic Gradient Optimization Techniques
Distributed Control Multi-Agent Systems
Publication details
- Journal / source
- International Journal of Technology
- Volume
- 17
- Issue
- 1
- Pages
- 250–250
- Publication date
- 28 January 2026