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Found 2 papers, 1 papers with code
Privacy-Preserving Edge Federated Learning for Intelligent Mobile-Health Systems
However, enabling learning from distributed data over such edge Internet of Things (IoT) systems (e. g., mobile-health and wearable technologies, involving sensitive personal/medical data) in a privacy-preserving fashion presents a major challenge mainly due to their stringent resource constraints, i. e., limited computing capacity, communication bandwidth, memory storage, and battery lifetime.
Lightweight Inference for Forward-Forward Algorithm
The human brain performs tasks with an outstanding energy-efficiency, i. e., with approximately 20 Watts.
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