kouda-amine Goto Github PK

alexnet-pytorch

Pytorch Implementation of AlexNet

awesome-federated-learning

Federated Learning Library: https://fedml.ai

cmfl

CMFL: Mitigating Communication Overhead for Federated Learning / PyTorch reimplementation.

cnns_har_and_hr

This repository is an artifact for the paper "CNNs for Heart Rate Estimation and Human Activity Recognition in Wrist Worn Sensing Applications" submitted to the WristSense workshop as part of PerCom 2020.

communication-efficient-federated-continual-learning

Communication-efficient federated continual learning

communication-efficient-federated-learning

deep-gradient-compression

[ICLR 2018] Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

deepfacelab

DeepFaceLab is the leading software for creating deepfakes.

dispfl

[ICML 2022] "DisPFL: Towards Communication-Efficient Personalized Federated learning via Decentralized Sparse Training"

examples

TensorFlow examples

fair_flearn

Fair Resource Allocation in Federated Learning (ICLR '20)

fedavgpy

On the Convergence of FedAvg on Non-IID Data

federated

A collection of Google research projects related to Federated Learning and Federated Analytics.

federated-1

A framework for implementing federated learning

federated-learning

federated-learning-and-split-learning-with-raspberry-pi

SRDS 2020: End-to-End Evaluation of Federated Learning and Split Learning for Internet of Things

federated-learning-pytorch

Implementation of Communication-Efficient Learning of Deep Networks from Decentralized Data

federated-meta

Unofficial Pytorch implementation of "Federated Meta-Learning with Fast Convergence and Efficient Communication"

federated_learning_horizontal

An Implementation of the Federated Averaging Algorithm as described in the Paper - Communication-Efficient Learning of Deep Networks from Decentralized Data by H. Brendan McMahan, Eider Moore, Daniel Ramage, Seth Hampson, Blaise Agüera y Arcas

fedma

Code for Federated Learning with Matched Averaging, ICLR 2020.

fedmd_clean

FedMD: Heterogenous Federated Learning via Model Distillation

fedml

A Research-oriented Federated Learning Library. Supporting distributed computing, mobile/IoT on-device training, and standalone simulation. Best Paper Award at NeurIPS 2020 Federated Learning workshop. Join our Slack Community:(https://join.slack.com/t/fedml/shared_invite/zt-havwx1ee-a1xfOUrATNfc9DFqU~r34w)

fedml-iot

FedML-IoT: Federated Learning on IoT Devices (supported by FedML framework)

fedpns

fedprox

Federated Optimization in Heterogeneous Networks (MLSys '20)

fedpso

FedPSO: Federated Learning Using Particle Swarm Optimization to Reduce Communication Costs

fl-bnn

Code for paper ``Communication-Efficient Federated Learning with Binary Neural Networks'', submitted to JSAC 2021

fl_public

gravity.optimizer

Deep Learning Gravity Optimizer Source Code Repository