distributed-learning
There are 61 repositories under distributed-learning topic.
microsoft/msrflute
Federated Learning Utilities and Tools for Experimentation
FedML-AI/FedGraphNN
FedGraphNN: A Federated Learning Platform for Graph Neural Networks with MLOps Support. The previous research version is accepted to ICLR'2021 - DPML and MLSys'21 - GNNSys workshops.
Lee-Gihun/FedNTD
(NeurIPS 2022) Official Implementation of "Preservation of the Global Knowledge by Not-True Distillation in Federated Learning"
LabeliaLabs/distributed-learning-contributivity
Simulate collaborative ML scenarios, experiment multi-partner learning approaches and measure respective contributions of different datasets to model performance.
VectorInstitute/FL4Health
A flexible, modular, and easy to use library to facilitate federated learning research and development in healthcare settings
AmanPriyanshu/Federated-Recommendation-Neural-Collaborative-Filtering
Federated Neural Collaborative Filtering (FedNCF). Neural Collaborative Filtering utilizes the flexibility, complexity, and non-linearity of Neural Network to build a recommender system. Aim to federate this recommendation system.
FederalLab/OpenFed
A Comprehensive and Versatile Open-Source Federated Learning Framework
BerivanIsik/sparse-random-networks
Implementation of the FedPM framework by the authors of the ICLR 2023 paper "Sparse Random Networks for Communication-Efficient Federated Learning".
officialarijit/DW-FedAvg
A Federated Learning based Android Malware Classification System
IKNL/vantage6
Docker CLI package for the vantage6 infrastructure
RCL-NUS/Auto-Multilift
Auto-Multilift is a novel learning framework for cooperative load transportation with quadrotors. It can automatically tune various MPC hyperparameters, which are modeled by DNNs and difficult to tune manually, via reinforcement learning in a distributed and closed-loop manner.
mtuann/federated-learning-updated-papers
Papers related to Federated Learning in all top venues
cshjin/fedsimul
A project for simulation of Asynchronous Federated Learning
burrmill/burrmill
BurrMill core
Alirezalm/SCOT
Sparse Convex Optimization Toolkit (SCOT)
Lee-Gihun/FedSOL
(CVPR 2024) Official Implementation of "FedSOL: Stabilized Orthogonal Learning with Proximal Restrictions in Federated Learning"
Sakshi09Ch/CoDeC
[TMLR] CoDeC: Communication-Efficient Decentralized Continual Learning
HaoweiLi778/JointSQ
Simple Implementation of the CVPR 2024 Paper "JointSQ: Joint Sparsification-Quantization for Distributed Learning"
savertm/Sageflow
Sageflow: Robust Federated Learning against Both Stragglers and Adversaries at NeurIPS'21
arawxx/FSDP-Distributed-Training-of-ConvNextV2-on-CIFAR10
A script for training the ConvNextV2 on CIFAR10 dataset using the FSDP technique for a distributed training scheme.
lecode-official/pytorch-federated-learning
A federated learning simulator written in PyTorch, which supports a virtually unlimited number of clients.
mvisionai/FedStream
FedStream: Prototype-Based Federated Learning on Distributed Concept-drifting Data Streams
Vision-Intelligence-and-Robots-Group/DCIL
Official implementation of Deep Class Incremental Learning from Decentralized Data (IEEE TNNLS 22)
varnio/fedsim
A generic Federated Learning simulator!
Mmasoud1/MeshFL
MeshNet distributed learning by using the NVFlare framework
ShayanTalaei/HDO
The code for the paper "Hybrid Decentralized Optimization: First- and Zeroth-Order Optimizers Can Be Jointly Leveraged For Faster Convergence"
AminAminifar/kPPDERT_cloud
Extremely Randomized Trees with Privacy Preservation for Distributed Data (k-PPD-ERT)
dogeplusplus/ball-balancer
Reinforcement learning using PPO on the 3D Ball environment for Unity ML-Agents. Using MPI to do distributed training across separate processes
GarlGuo/CD-GraB
CD-GraB is a distributed gradient balancing framework that aims to find distributed data permutation with provably better convergence guarantees than Distributed Random Reshuffling (D-RR). https://arxiv.org/pdf/2302.00845.pdf.
rgtzths/federations_costs_slicing
This repository is the code basis of the paper intitled "The learning costs of Federated Learning in constrained scenarios"
sebastienmeyer2/signsgd-fault-tolerance
Unofficial implementation of SignSGD to assess its robustness to adversaries.
zeyneddinoz/subMFL
subMFL: Compatible subModel Generation for Federated Learning in Device Heterogeneous Environment
MuhammadAshiqAmeer/Federated-Learning-Intel-OpenFL
The repository focuses on conducting Federated Learning experiments using the Intel OpenFL framework with diverse machine learning models, utilizing image and tabular datasets, applicable different domains like medicine, banking etc.
yvgupta03/MLOPs_Collaborative_ML_with_Homomorphic_Encryption
Collaborative Machine Learning approach to train a mode that classifies a person as smoker or non-smoker based on the user data. The distributed approach of training is done with secure model transmissions to central cloud location where Amazon EC2 instance aggregates the new model based on new training received in Homomorphically Encrypted forms