1. FedKit: Enabling Cross-Platform Federated Learning for Android and iOS
- Author
-
He, Sichang, Tang, Beilong, Zhang, Boyan, Shao, Jiaoqi, Ouyang, Xiaomin, Nugraha, Daniel Nata, and Luo, Bing
- Subjects
Computer Science - Machine Learning ,Computer Science - Networking and Internet Architecture - 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., Comment: This work has been accepted for demonstration on IEEE International Conference on Computer Communications (INFOCOM) 2024
- Published
- 2024