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May 10, 2021 - Python
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federated-learning
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A library for answering questions using data you cannot see
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A curated list of references for MLOps
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An Industrial Grade Federated Learning Framework
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Federated Learning Library: https://fedml.ai
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A PyTorch Implementation of Federated Learning http://doi.org/10.5281/zenodo.4321561
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Awesome Multitask Learning Resources
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Apr 13, 2021
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Feb 4, 2021
Implementation of Communication-Efficient Learning of Deep Networks from Decentralized Data
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resources about federated learning and privacy in machine learning
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Apr 28, 2021
算法刷题指南、Java多线程与高并发、Java集合源码、Spring boot、Spring Cloud等笔记,源码级学习笔记后续也会更新。
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A curated list of awesome Distributed Deep Learning resources.
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Jul 19, 2019
Infrastructures™ for Machine Learning Training/Inference in Production.
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May 24, 2019
Simulate a federated setting and run differentially private federated learning.
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Feb 16, 2021 - Python
Manage federated learning workload using cloud native technologies.
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A privacy preserving NLP framework
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May 8, 2021 - Python
All materials you need for Federated Learning: blogs, videos, papers, and softwares, etc.
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Apr 21, 2021 - Shell
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A curated list of awesome edge machine learning resources, including research papers, inference engines, challenges, books, meetups and others.
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Apr 18, 2020 - Python
Xaynet represents an agnostic Federated Machine Learning framework to build privacy-preserving AI applications.
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May 10, 2021 - Rust
Fair Resource Allocation in Federated Learning (ICLR '20)
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May 7, 2021 - Python
See new version https://github.com/mccorby/PhotoLabeller
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Apr 26, 2018 - Java
Federated Learning: Client application doing classification of images and local training. Works better with the Parameter Server at https://github.com/mccorby/PhotoLabellerServer
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Mar 18, 2019 - Kotlin
FedNLP: A Research Platform for Federated Learning in Natural Language Processing
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May 10, 2021 - Python
Galaxy Federated Learning Framework (星际联邦学习框架)
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Apr 7, 2021 - Python
psfoley
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Mar 25, 2021
gRPC is currently pinned to version 1.30. Tensorflow 2.4+ requires a later version. The gRPC version was originally pinned because of sporadic network issues, but this is likely fixed with change to short lived gRPC client connection.
Personalized Federated Learning using Pytorch (pFedMe)
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Mar 23, 2021 - Python
Bayesian Nonparametric Federated Learning of Neural Networks
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May 29, 2019 - Python
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It seems that the number of joining clients (not the num of computing clients) is fixed in fedml_api/data_preprocessing/**/data_loader and cannot be changed except CIFAR10 datasets.
Here I mean that it seems the total clients is decided by the datasets, rather the input from run_fedavg_distributed_pytorch.sh.
https://github.com/FedML-AI/FedML/blob/3d9fda8d149c95f25ec4898e31df76f035a33b5d/fed