A library for answering questions using data you cannot see

An Industrial Grade Federated Learning Framework

A curated list of references for MLOps

Awesome Multitask Learning Resources

Federated Learning - PyTorch

A curated list of awesome Distributed Deep Learning resources.

📚 👓 A collection of research papers, codes, tutorials and blogs on Federated Computing/Learning.

resources about federated learning and privacy in machine learning

Infrastructures™ for Machine Learning Training/Inference in Production.

Implementation of Communication-Efficient Learning of Deep Networks from Decentralized Data

Simulate a federated setting and run differentially private federated learning.

Manage federated learning workload using cloud native technologies.

See new version https://github.com/mccorby/PhotoLabeller

Federated Learning: Client application doing classification of images and local training. Works better with the Parameter Server at https://github.com/mccorby/PhotoLabellerServer

A curated list of awesome edge machine learning resources, including research papers, inference engines, challenges, books, meetups and others.

A collection of research papers categorized into broad topics in federated learning.

FedML: A Research Library and Benchmark for Federated Machine Learning

Fair Resource Allocation in Federated Learning (ICLR '20)

Bayesian Nonparametric Federated Learning of Neural Networks

Galaxy Federated Learning Framework （星际联邦学习框架）

A scalable, high-performance serving system for federated learning models

Fuck 算法、Java多线程与高并发、Spring boot、Spring Cloud等笔记，源码级学习笔记后续也会更新。

Federated Learning related materials, including papers, articles, frameworks, and courses etc.

Xaynet represents an agnostic Federated Machine Learning framework to build privacy-preserving AI applications.

FATE's Visualization Toolkit

This repo contains all the notebooks mentioned in blog.

Full stack service enabling decentralized machine learning on private data

Federated Learning: Parameter Server doing aggregation of updates to a model coming from clients participating in a Federated Learning setup. See also the Android application companion at https://github.com/mccorby/PhotoLabeller

The official Syft worker for secure on-device machine learning