FedKit: Enabling Cross-Platform Federated Learning for Android and iOS

February 16, 2024 · Entered Twilight · 🏛 Conference on Computer Communications Workshops

Repo contents: .gitattributes, .github, .gitignore, LICENSE, README.md, action.yml, android, backend, convert_model, fed_kit.py, fed_kit_client, flutter, upload_mnist_models.py

Authors Sichang He, Beilong Tang, Boyan Zhang, Jiaoqi Shao, Xiaomin Ouyang, Daniel Nata Nugraha, Bing Luo arXiv ID 2402.10464 Category cs.LG: Machine Learning Cross-listed cs.NI Citations 3 Venue Conference on Computer Communications Workshops Repository https://github.com/FedCampus/FedKit ⭐ 19 Last Checked 3 months ago

Abstract

We present FedKit, a federated learning (FL) system tailored for cross-platform FL research on Android and iOS devices. FedKit pipelines cross-platform FL development by enabling model conversion, hardware-accelerated training, and cross-platform model aggregation. Our FL workflow supports flexible machine learning operations (MLOps) in production, facilitating continuous model delivery and training. We have deployed FedKit in a real-world use case for health data analysis on university campuses, demonstrating its effectiveness. FedKit is open-source at https://github.com/FedCampus/FedKit.