Personalizing Federated Learning for Wearable IoT: A Trust-Aware Approach

This research explores a crucial area for the future of wearable AI, addressing trust and personalization in a decentralized, federated learning setting. The focus on evidential trust is particularly important for ensuring the reliability and robustness of models trained on sensitive IoT data.

• •Addresses personalization in federated learning for wearable devices.
• •Emphasizes trust awareness, likely using evidential reasoning.
• •Relevant for ensuring data privacy and model reliability in IoT contexts.