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Code and data accompanying the FedGen paper
A Research-oriented Federated Learning Library and Benchmark Platform for Graph Neural Networks. Accepted to ICLR'2021 - DPML and MLSys'21 - GNNSys workshops.
FedGS: A Federated Group Synchronization Framework Implemented by LEAF-MX.
Codes for FedKD
FedML - The federated learning and analytics library enabling secure and collaborative machine learning on decentralized data anywhere at any scale. Supporting large-scale cross-silo federated learning, cross-device federated learning on smartphones/IoTs, and research simulation. MLOps and App Marketplace are also enabled (https://open.fedml.ai).
PyTorch implementation of FedNova (NeurIPS 2020), and a class of federated learning algorithms, including FedAvg, FedProx.
An implementation of FedPAQ using different experimental parameters. We will be looking at different variations of how, r(number of clients to be selected), t (local epochs) and s (Quantizer levels))
Federated Optimization in Heterogeneous Networks (MLSys '20)
FedScale is a scalable and extensible open-source federated learning (FL) platform.
FedTorch is a generic repository for benchmarking different federated and distributed learning algorithms using PyTorch Distributed API.
Rethinking Data Heterogeneity in Federated Learning: Introducing a New Notion and Standard Benchmarks
FLIS: Clustered Federated Learning via Inference Similarity for Non-IID Data Distribution
Federated Learning Simulator (FLSim) is a flexible, standalone core library that simulates FL settings with a minimal, easy-to-use API. FLSim is domain-agnostic and accommodates many use cases such as vision and text.
A simulation framework for Federated Learning written in PyTorch
Machine learning, computer vision, statistics and general scientific computing for .NET
Repository for FSL-GAN
A cross-platform game engine with cutting-edge real-time rendering tech & fantastic speed.
Platform for designing and evaluating Graph Neural Networks (GNN)
Codebase for An Efficient Framework for Clustered Federated Learning.
immature engine, a small 3D game engine with poor features
KFedExps -> kfed
Accenture Labs Federated Learning
Leaf: A Benchmark for Federated Settings
Source code for the IJCAI 2022 paper "Meta-Learning Based Knowledge Extrapolation for Knowledge Graphs in the Federated Setting"
The official implementation of [CVPR2022] Decoupled Knowledge Distillation https://arxiv.org/abs/2203.08679
3D framework for web, desktop and mobile devices.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
š 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. ššš
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 ā¤ļø Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.