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Implementation of Communication-Efficient Learning of Deep Networks from Decentralized Data
In this work, we propose a novel formulation titled Federated Deep Q Networks (F-DQN) to perform distributed learning for Deep RL algorithms.
Code for paper "Interpret Federated Learning with Shapley Values"
Code and data accompanying the FedGen paper
FEDL-Federated Learning algorithm using TensorFlow
Federated Learning over Wireless Networks
A flexible Federated Learning Framework based on PyTorch, simplifying your Federated Learning research.
Standard implementations of FedLab and its provided benchmarks.
Code for Federated Learning with Matched Averaging, ICLR 2020.
This repository is an official Tensorflow 2 implementation of Federated Semi-Supervised Learning with Inter-Client Consistency & Disjoint Learning
Source code for ECML-PKDD (2020) paper: FedMAX: Mitigating Activation Divergence for Accurate and Communication-Efficient Federated Learning
FedMD: Heterogenous Federated Learning via Model Distillation
FedMD: Heterogenous Federated Learning via Model Distillation
(PyTorch > 1.0) A Research-Oriented Federated Learning Library. Supporting distributed computing, mobile/IoT on-device training, and standalone simulation
FedNAS: Federated Deep Learning via Neural Architecture Search
FedNLP: A Research Platform for Federated Learning in Natural Language Processing
PyTorch implementation of FedNova (NeurIPS 2020), and a class of federated learning algorithms, including FedAvg, FedProx.
Federated Optimization in Heterogeneous Networks (MLSys '20)
FedScale: Benchmarking Model and System Performance of Federated Learning
Profit Allocation for Federated Learning
FEN Code
Apply Deep Reinforcement Learning aided by Federated Learning to Wireless Comunication
Paper collection of federated learning. Conferences and Journals Collection for Federated Learning from 2019 to 2021, Accepted Papers, Hot topics and good research groups. Paper summary
A simulation framework for Federated Learning written in PyTorch
Federated Multi-Task Learning
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.