PyTorch implementation of federated learning framework based on the acceleration of global momentum

Last update: Dec 23, 2021

Related tags

Deep Learning FedAGM

Overview

Federated Learning with Acceleration of Global Momentum

PyTorch implementation of federated learning framework based on the acceleration of global momentum.

Federated Learning with Acceleration of Global Momentum

Geeho Kim, Jinkyu Kim, Bohyung Han

1. Dependencies

This repository is implemented based on PyTorch with Anaconda.

2. Training models

CIFAR-100, 100 clients, Dirichlet (0.3) split, 5% participation

python federated_train.py --cuda_visible_device=1 --method=FedAGM --global_method=FedAGM --config=configs/cifar_actl2.yaml --arch=ResNet18 --weight_decay=1e-3 --gr_clipping_max_norm=10 --alpha=1 --mu=0.001 --gamma=0.9 --momentum=0.0 --tau 1.0 --lr=1e-1 --mode=dirichlet --dirichlet_alpha=0.3  --participation_rate=0.05 --learning_rate_decay 0.995 --set CIFAR100

Owner

GitHub Repository

Time should be taken seer-iously

TimeSeers seers - (Noun) plural form of seer - A person who foretells future events by or as if by supernatural means TimeSeers is an hierarchical Bay

279 Dec 26, 2022

Simple node deletion tool for onnx.

snd4onnx Simple node deletion tool for onnx. I only test very miscellaneous and limited patterns as a hobby. There are probably a large number of bugs

6 May 15, 2022

Python package for missing-data imputation with deep learning

MIDASpy Overview MIDASpy is a Python package for multiply imputing missing data using deep learning methods. The MIDASpy algorithm offers significant

77 Dec 03, 2022

Chatbot in 200 lines of code using TensorLayer

Seq2Seq Chatbot This is a 200 lines implementation of Twitter/Cornell-Movie Chatbot, please read the following references before you read the code: Pr

820 Dec 17, 2022

Sinkformers: Transformers with Doubly Stochastic Attention

Code for the paper : "Sinkformers: Transformers with Doubly Stochastic Attention" Paper You will find our paper here. Compat This package has been dev

31 Dec 29, 2022

Project repo for Learning Category-Specific Mesh Reconstruction from Image Collections

Learning Category-Specific Mesh Reconstruction from Image Collections Angjoo Kanazawa*, Shubham Tulsiani*, Alexei A. Efros, Jitendra Malik University

438 Dec 22, 2022

Contains source code for the winning solution of the xView3 challenge

Winning Solution for xView3 Challenge This repository contains source code and pretrained models for my (Eugene Khvedchenya) solution to xView 3 Chall

51 Dec 30, 2022

An executor that loads ONNX models and embeds documents using the ONNX runtime.

ONNXEncoder An executor that loads ONNX models and embeds documents using the ONNX runtime. Usage via Docker image (recommended) from jina import Flow

2 Mar 15, 2022

In-Place Activated BatchNorm for Memory-Optimized Training of DNNs

In-Place Activated BatchNorm In-Place Activated BatchNorm for Memory-Optimized Training of DNNs In-Place Activated BatchNorm (InPlace-ABN) is a novel

1.3k Dec 29, 2022

This repo will contain code to reproduce and build upon understanding transfer learning

What is being transferred in transfer learning? This repo contains the code for the following paper: Behnam Neyshabur*, Hanie Sedghi*, Chiyuan Zhang*.

4 Jun 16, 2021

PaddleViT: State-of-the-art Visual Transformer and MLP Models for PaddlePaddle 2.0+

PaddlePaddle Vision Transformers State-of-the-art Visual Transformer and MLP Models for PaddlePaddle 🤖 PaddlePaddle Visual Transformers (PaddleViT or

1k Dec 28, 2022

Uncertainty Estimation via Response Scaling for Pseudo-mask Noise Mitigation in Weakly-supervised Semantic Segmentation

Uncertainty Estimation via Response Scaling for Pseudo-mask Noise Mitigation in Weakly-supervised Semantic Segmentation Introduction This is a PyTorch

30 Sep 23, 2022

Predictive Maintenance LSTM

Predictive-Maintenance-LSTM - Predictive maintenance study for Complex case study, we've obtained failure causes by operational error and more deeply by design mistakes.

1 Dec 31, 2021

Instant-Teaching: An End-to-End Semi-Supervised Object Detection Framework

This repo is the official implementation of "Instant-Teaching: An End-to-End Semi-Supervised Object Detection Framework". @inproceedings{zhou2021insta

34 Dec 31, 2022

🛰️ Awesome Satellite Imagery Datasets

Awesome Satellite Imagery Datasets List of aerial and satellite imagery datasets with annotations for computer vision and deep learning. Newest datase

3k Jan 03, 2023

A PyTorch Library for Accelerating 3D Deep Learning Research

Kaolin: A Pytorch Library for Accelerating 3D Deep Learning Research Overview NVIDIA Kaolin library provides a PyTorch API for working with a variety

3.5k Jan 07, 2023

Computational Methods Course at UdeA. Forked and size reduced from:

Computational Methods for Physics & Astronomy Book version at: https://restrepo.github.io/ComputationalMethods by: Sebastian Bustamante 2014/2015 Dieg

11 Sep 10, 2022

Deepparse is a state-of-the-art library for parsing multinational street addresses using deep learning

Here is deepparse. Deepparse is a state-of-the-art library for parsing multinational street addresses using deep learning. Use deepparse to Use the pr

192 Dec 20, 2022

🕹️ Official Implementation of Conditional Motion In-betweening (CMIB) 🏃

Conditional Motion In-Betweening (CMIB) Official implementation of paper: Conditional Motion In-betweeening. Paper(arXiv) | Project Page | YouTube in-

81 Dec 22, 2022

这是一个yolo3-tf2的源码，可以用于训练自己的模型。

YOLOV3：You Only Look Once目标检测模型在Tensorflow2当中的实现目录性能情况 Performance 所需环境 Environment 文件下载 Download 训练步骤 How2train 预测步骤 How2predict 评估步骤 How2eval 参考资料

68 Dec 21, 2022