Tag : Edge AI
AI Federated Learning: Federated learning trains a shared machine learning model on multiple decentralized devices (such as smartphones), keeps the training data on the devices, and only shares model updates, thus preserving privacy.
AI model optimization makes AI models faster, smaller, and more efficient by improving performance and reducing resource requirements. Key techniques include pruning, quantization, knowledge distillation, and hyperparameter tuning. This enables deployment on resource-constrained devices and reduces costs.
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