A production ML serving system that dynamically adjusts quantization precision (INT8/FP16/FP32) based on real-time latency budgets and accuracy requirements. Combines quantization-aware training with ...
Adaptive Quantization Toolkit (AQT) is a comprehensive model-adaptive toolkit that automates the entire calibration pipeline from model profiling to configuration deployment. The toolkit emphasizes ...
Abstract: The letter introduces a novel quantizer suited for medium to high-resolution synthetic aperture radar (SAR) systems, like the forthcoming SENTINEL-1 SAR. The Flexible Dynamic Block Adaptive ...
Abstract: Dithering quantization (DQ) is a promising Differential Privacy (DP) approach designed for Federated Learning (FL) to prevent privacy leakage of clients ...