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arXiv · 2402.10464

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
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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.

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Sichang He, Beilong Tang, Boyan Zhang, Jiaoqi Shao, Xiaomin Ouyang, Daniel Nata Nugraha, Bing Luo. 2024-02-16. FedKit: Enabling Cross-Platform Federated Learning for Android and iOS. https://arxiv.org/abs/2402.10464

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