Federated-Learning-for-Wearable-Sensor-Based-Human-Activity-Recognition

---

Sachin, D.N., Annappa, B., Ambesenge, S. (2023). Federated Learning for Wearable Sensor-Based Human Activity Recognition. In: Arya, K.V., Tripathi, V.K., Rodriguez, C., Yusuf, E. (eds) Proceedings of 7th ASRES International Conference on Intelligent Technologies. ICIT 2022. Lecture Notes in Networks and Systems, vol 685. Springer, Singapore. https://doi.org/10.1007/978-981-99-1912-3_12

---

Requirements:
Flower (https://flower.dev/) Version: 0.19.0
Data Set: The MHEALTH (Mobile Health) dataset is devised to benchmark techniques dealing with human behavior analysis based on multimodal body sensing. (http://archive.ics.uci.edu/dataset/319/mhealth+dataset)

Download Preprocced Dataset: https://www.kaggle.com/datasets/gaurav2022/mobile-health?select=mhealth_raw_data.csv