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

Sichang He, Beilong Tang, Boyan Zhang, Jiaoqi Shao, Xiaomin Ouyang, Daniel Nata Nugraha, Bing Luo

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. Fed Kitis open-source at https://github.com/FedCampus/FedKit.