Welcome

Crowdsourcing drives the world! FLxBC drives the crowdsourcing!

Spectrum sensing in large temporal-spacial area can be widely applied to a variety of research objectives, including spectrum estimation and anomaly detection. A naive idea is everyone contributing his sampled data and sharing it with the community. However, Privacy and Incentive become two challenges we have to face before the big map of crowdsource could be achieved.

In Fiesta project, we leverage Federated Learning and Blockchain techniques to solve this problem, stimulating participants to contribute their spectrum sensing data using fair rewards, with their privacy retained in the meantime.

This project has been accepted in DySPAN2024 🤗

Yijing Zeng, Bangya Liu, Yilong Li, Domenico Giustiniano, and Suman Banerjee. "Sustainable Spectrum Crowdsensing." IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN). 2024.

How does the project work

Project Composition

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Quick Start

Two demo applications

Federated Learning (TBD)

Developer references

BlockChain (TBD)API Reference