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artemis-bidirectional-compression

Artemis: fast convergence guarantees for bidirectional compression in Federated Learning

awesome-federated-computing

:books: :eyeglasses: A collection of research papers, codes, tutorials and blogs on Federated Computing/Learning.

awesome-federated-learning

Federated Learning Library: https://fedml.ai

broadcast

copt

A Python library for mathematical optimization

error-feedback-sgd

SGD with compressed gradients and error-feedback: https://arxiv.org/abs/1901.09847

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-learnig

hello, world!

fedpaq-mnist-implemenation-main

fl-privacy-protection-survey

联邦学习隐私保护综述

flpapers

Paper collection of federated learning. Conferences and Journals Collection for Federated Learning from 2019 to 2021, Accepted Papers, Hot topics and good research groups. Paper summary

horovod

Distributed training framework for TensorFlow, Keras, and PyTorch.

learning_event_triggered_control

pidoptimizer

Code for this CVPR 2018 paper: "A PID Controller Approach for Stochastic Optimization of Deep Networks", Wangpeng An, Haoqian Wang, Qingyun Sun, Jun Xu, Qionghai Dai, Lei Zhang.

pytorch_resnet_cifar10

Fork of https://github.com/akamaster/pytorch_resnet_cifar10

tpami-laq

Python code for paper "Lazily Aggregated Quantized Gradient Innovation for Communication-Efficient Federated Learning"

wide-resnet.pytorch

Best CIFAR-10, CIFAR-100 results with wide-residual networks using PyTorch