Implementation of Communication-Efficient Learning of Deep Networks from Decentralized Data - abedidev/Federated-Learning-PyTorch
PyTorch-Federated-Learning provides various federated learning baselines implemented using the PyTorch framework. The codebase follows a client-server architecture and is highly intuitive and accessible. If you find this repository useful, please let me know with your stars:star:. Thank you! English ...
Federated-Learning (PyTorch) Implementation of the vanilla federated learning paper : Communication-Efficient Learning of Deep Networks from Decentralized Data. Experiments are produced on MNIST, Fashion MNIST and CIFAR10 (both IID and non-IID). In case of non-IID, the data amongst the users can...
Implementation of Communication-Efficient Learning of Deep Networks from Decentralized Data - HNG-94/Federated-Learning-PyTorch
Federated Learning - PyTorch . Contribute to fagan2888/federated-learning development by creating an account on GitHub.
python>=3.6 pytorch>=0.4 Run The MLP and CNN models are produced by: python main_nn.py Federated learning with MLP and CNN is produced by: python main_fed.py See the arguments in options.py. For example: python main_fed.py --dataset mnist --iid --num_channels 1 --model cnn -...
Implementation of Communication-Efficient Learning of Deep Networks from Decentralized Data - Federated-Learning-PyTorch/requirments.txt at master · Huzaifa-Arif/Federated-Learning-PyTorch
Benchmark of federated learning. Dedicated to the community. 🤗 machine-learningdeep-learningfederated-learningpytorch-implementationfederated-learning-frameworkpersonalized-federated-learning UpdatedMay 12, 2025 Python microsoft/PersonalizedFL Star387
-Federated Learning Using Pytorch -Age-Based Scheduling Policy for Federated Learning in Mobile Edge Networks CIFAR-10 Dataset Next the CIFAR-10 dataset was used to introduce more compexities into the network. Two networks were tested along with two different optimizers, two different client selection...
python>=3.6 pytorch>=0.4 Run The MLP and CNN models are produced by: python main_nn.py Federated learning with MLP and CNN is produced by: python main_fed.py See the arguments in options.py. For example: python main_fed.py --dataset mnist --iid --num_channels 1 --model cnn -...