Topic: distributed-learning Goto Github
Some thing interesting about distributed-learning
Some thing interesting about distributed-learning
distributed-learning,Sparse Convex Optimization Toolkit (SCOT)
User: alirezalm
Home Page: https://alirezalm.github.io/scot/
distributed-learning,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.
User: amanpriyanshu
distributed-learning,Extremely Randomized Trees with Privacy Preservation for Distributed Data (k-PPD-ERT)
User: aminaminifar
distributed-learning,Distributed machine learning using processes
User: amirr01
distributed-learning,A script for training the ConvNextV2 on CIFAR10 dataset using the FSDP technique for a distributed training scheme.
User: arawxx
distributed-learning,GGM structure learning using 1 bit.
User: arminkmz
distributed-learning,Implementation of the FedPM framework by the authors of the ICLR 2023 paper "Sparse Random Networks for Communication-Efficient Federated Learning".
User: berivanisik
distributed-learning,
User: bhabeshmali
distributed-learning,BurrMill core
Organization: burrmill
Home Page: https://100D.space/burrmill-101
distributed-learning,Just a casual project that provides a minor solution to the distributed learning of block non-i.i.d. data
User: codymlewis
distributed-learning,A project for simulation of Asynchronous Federated Learning
User: cshjin
distributed-learning,The smartphones of the people probably carry the most valueable but also private data. Since using data promisses to be one of the best ways to fight back against COVID-19, it is highly desirable to get access. By using a Federated Learning approach with PySyft it is possible to learn from the private data right on the smartphone, with the data never leaving the device.
User: dataliftoff
distributed-learning,Reinforcement learning using PPO on the 3D Ball environment for Unity ML-Agents. Using MPI to do distributed training across separate processes
User: dogeplusplus
distributed-learning,A Comprehensive and Versatile Open-Source Federated Learning Framework
Organization: federallab
Home Page: https://openfed.readthedocs.io
distributed-learning,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.
Organization: fedml-ai
Home Page: https://arxiv.org/abs/2104.07145
distributed-learning,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.
User: garlguo
distributed-learning,Speeding up DNN training for image classification, with OpenMPI
User: habibslim
distributed-learning,Docker CLI package for the vantage6 infrastructure
Organization: iknl
Home Page: https://vantage6.ai
distributed-learning,Training and deploying sentiment analysis models with deep learning using Amazon SageMaker. A BERT model was trained using distributed training with the help of Hugging Face.
User: jaythibs
distributed-learning,
User: jtirana98
distributed-learning,Simulate collaborative ML scenarios, experiment multi-partner learning approaches and measure respective contributions of different datasets to model performance.
Organization: labelialabs
Home Page: https://www.labelia.org
distributed-learning,A federated learning simulator written in PyTorch, which supports a virtually unlimited number of clients.
User: lecode-official
distributed-learning,(NeurIPS 2022) Official Implementation of "Preservation of the Global Knowledge by Not-True Distillation in Federated Learning"
User: lee-gihun
distributed-learning,Dist-DGL running on wsl2, minikube with single machine
User: meongju0o0
distributed-learning,Federated Learning Utilities and Tools for Experimentation
Organization: microsoft
Home Page: https://aka.ms/flute
distributed-learning,Ray Trainer test
User: mikhail11235
distributed-learning,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.
User: muhammadashiqameer
distributed-learning,FedStream: Prototype-Based Federated Learning on Distributed Concept-drifting Data Streams
User: mvisionai
distributed-learning,A Federated Learning based Android Malware Classification System
User: officialarijit
distributed-learning,Sample PHT implementations efforts from the PHT German team
Organization: personalhealthtrain
distributed-learning,
User: rashid0531
distributed-learning,This repository is the code basis of the paper intitled "The learning costs of Federated Learning in constrained scenarios"
User: rgtzths
distributed-learning,[TMLR] CoDeC: Communication-Efficient Decentralized Continual Learning
User: sakshi09ch
Home Page: https://openreview.net/forum?id=N05OnQG1BA
distributed-learning,Sageflow: Robust Federated Learning against Both Stragglers and Adversaries at NeurIPS'21
User: savertm
distributed-learning,Unofficial implementation of SignSGD to assess its robustness to adversaries.
User: sebastienmeyer2
distributed-learning,An open framework for Federated Learning.
Organization: securefederatedai
Home Page: https://openfl.readthedocs.io/en/latest/index.html
distributed-learning,The code for the paper "Hybrid Decentralized Optimization: First- and Zeroth-Order Optimizers Can Be Jointly Leveraged For Faster Convergence"
User: shayantalaei
distributed-learning,Codes and experiments for the paper "Max-Discrepancy Distributed Learning: Fast Risk Bounds and Algorithms"
User: superlj666
distributed-learning,This is a distributed training framework for continual and incremental learning for multi-label multi-class image tasks
User: szrlee
distributed-learning,A generic Federated Learning simulator!
Organization: varnio
Home Page: http://fedsim.varnio.com
distributed-learning,Page for fedsim
Organization: varnio
Home Page: https://github.com/varnio/fedsim
distributed-learning,A flexible, modular, and easy to use library to facilitate federated learning research and development in healthcare settings
Organization: vectorinstitute
distributed-learning,Official implementation of Deep Class Incremental Learning from Decentralized Data (IEEE TNNLS 22)
Organization: vision-intelligence-and-robots-group
distributed-learning,[WIP] elastic training implemented with MXNet
User: wuxun-zhang
distributed-learning,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
User: yvgupta03
distributed-learning,subMFL: Compatible subModel Generation for Federated Learning in Device Heterogeneous Environment
User: zeyneddinoz
distributed-learning,
User: zhangyi19941217
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