Demo: FedCampus: A Real-world Privacy-preserving Mobile Application for Smart Campus via Federated Learning & Analytics
Not on the map. Why?
Abstract (arXiv)
In this demo, we introduce FedCampus, a privacy-preserving mobile application for smart underlinecampus with underlinefederated learning (FL) and federated analytics (FA). FedCampus enables cross-platform on-device FL/FA for both iOS and Android, supporting continuously models and algorithms deployment (MLOps). Our app integrates privacy-preserving processed data via differential privacy (DP) from smartwatches, where the processed parameters are used for FL/FA through the FedCampus backend platform. We distributed 100 smartwatches to volunteers at Duke Kunshan University and have successfully completed a series of smart campus tasks featuring capabilities such as sleep tracking, physical activity monitoring, personalized recommendations, and heavy hitters. Our project is opensourced at https://github.com/FedCampus/FedCampusFlutter. See the FedCampus video at https://youtu.be/k5iu46IjA38.
Key facts. Cited by 3 papers in the map (data through 13 Oct 2026). Builds on 4 of its 6 references that are in the map. First posted on arXiv 31 Aug 2024.
Builds on
4 of 6 references.
References · 4
- 2020FedML: A Research Library and Benchmark for Federated Machine Learningcited by 300
- 2020FedHome: Cloud-Edge based Personalized Federated Learning for In-Home Health Monitoringcited by 61
- 2021Cost-Effective Federated Learning in Mobile Edge Networkscited by 25
- 2024FedKit: Enabling Cross-Platform Federated Learning for Android and iOScited by 2
Built on by
Citing papers per year: 2025: 3.
3 papers.