An On-Device Federated Learning Approach for Cooperative Anomaly Detection

27 Feb 2020Rei ItoMineto TsukadaHiroki Matsutani

Most edge AI focuses on prediction tasks on resource-limited edge devices, while the training is done at server machines, so retraining a model on the edge devices to reflect environmental changes is a complicated task. To follow such a concept drift, a neural-network based on-device learning approach is recently proposed, so that edge devices train incoming data at runtime to update their model... (read more)

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