FedKit: Enabling Cross-Platform Federated Learning for Android and iOS
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Abstract (arXiv)
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.
Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). Builds on 4 of its 5 references that are in the map. First posted on arXiv 16 Feb 2024.
Builds on
4 of 5 references.
References · 4
- 2020FedML: A Research Library and Benchmark for Federated Machine Learningcited by 300
- 2021On-device Federated Learning with Flowercited by 13
- 2021Syft 0.5: A Platform for Universally Deployable Structured Transparencycited by 3
- 2023Project Florida: Federated Learning Made Easycited by 2
Built on by
Citing papers per year: 2024: 1; 2025: 1.
2 papers.