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Count the FLOPs of your PyTorch model.
Federated learning is a distributed learning method that trains a deep network on user devices without collecting data from central server. It is useful when the central server can’t collect data. …
An easy to use PyTorch to TensorRT converter
Federated Learning based Variational Autoencoder for Collaborative Filtering
The PyTorch implementation of Learned Step size Quantization (LSQ) in ICLR2020 (unofficial)