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ILMPQ: An Intra-Layer Multi-Precision Deep Neural Network Quantization framew...
ILMPQ: An Intra-Layer Multi-Precision Deep Neural Network Quantization framework for FPGA -
TensorQuant
TensorQuant toolbox is used to apply fixed point quantization to DNNs. The simulations are focused on popular CNN topologies, such as Inception V1, Inception V3, ResNet 50 and... -
RepBNN: towards a precise Binary Neural Network with Enhanced Feature Map via...
Binary neural network (BNN) is an extreme quantization version of convolutional neural networks (CNNs) with all features and weights mapped to just 1-bit. -
Quantization of Distributed Data for Learning
The dataset used in this paper is a distributed dataset for learning, where the data is distributed over a trusted network and the communication constraints can create a... -
On-demand Quantization for Green Federated Diffusion in Mobile Edge Networks
The dataset used in this paper is a federated diffusion model for mobile edge networks.
