# Demo: FedCampus: A Real-world Privacy-preserving Mobile Application for Smart Campus via Federated Learning & Analytics

arXiv: https://arxiv.org/abs/2409.00327 · HTML: https://mlsanity.com/paper/2409.00327/

## Key facts

- Cited by 3 papers in the map (data through 14 Oct 2026).
- Builds on 4 of its 6 references that are in the map.
- First posted on arXiv 31 Aug 2024.

## Builds on (most cited first, 4 of 4)

- [FedML: A Research Library and Benchmark for Federated Machine Learning](https://mlsanity.com/paper/2007.13518/) (2020)
- [FedHome: Cloud-Edge based Personalized Federated Learning for In-Home Health Monitoring](https://mlsanity.com/paper/2012.07450/) (2020)
- [Cost-Effective Federated Learning in Mobile Edge Networks](https://mlsanity.com/paper/2109.05411/) (2021)
- [FedKit: Enabling Cross-Platform Federated Learning for Android and iOS](https://mlsanity.com/paper/2402.10464/) (2024)

## Built on by (most cited first, 3 of 3)

- [Ten Challenging Problems in Federated Foundation Models](https://mlsanity.com/paper/2502.12176/) (2025)
- [FlexP-SFT: A Flexible Aggregation-Free Framework for On-Device Personalized Split Federated Fine-Tuning of LLMs](https://mlsanity.com/paper/2508.10349/) (2025)
- [Adaptive Federated LoRA in Heterogeneous Wireless Networks with Independent Sampling](https://mlsanity.com/paper/2505.23555/) (2025)

## 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.