Reliable Federated TinyML Deployment for IoT Security
This work investigates combining Federated Learning with TinyML-based model compression for intrusion detection in IoT environments and preliminary results show that training stability plays a critical role in federated TinyML systems.
Younsoo Park, Seokhyoen Bae, Shasi Kumar Ramachandran Prabhu et al.
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