Abstract: We study direction-of-arrival (DOA) estimation from coarsely quantized data. We focus on a two-step approach which first estimates the signal subspace via covariance estimation and then ...
Abstract: Quantization is a common method to improve communication efficiency in federated learning (FL) by compressing the gradients that clients upload. Currently, most application scenarios involve ...
It is worth noting that this repository is learning-oriented, and is not intended for production use. Pytorch Model fp32 48.1 Onnx fp32 48.1 trt engine fp32 48.1 trt engine fp16 48.0 Onnx Default mtq ...
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