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Pytorch Implementation of AlexNet
Federated Learning Library: https://fedml.ai
CMFL: Mitigating Communication Overhead for Federated Learning / PyTorch reimplementation.
This repository is an artifact for the paper "CNNs for Heart Rate Estimation and Human Activity Recognition in Wrist Worn Sensing Applications" submitted to the WristSense workshop as part of PerCom 2020.
Communication-efficient federated continual learning
[ICLR 2018] Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
DeepFaceLab is the leading software for creating deepfakes.
[ICML 2022] "DisPFL: Towards Communication-Efficient Personalized Federated learning via Decentralized Sparse Training"
TensorFlow examples
Fair Resource Allocation in Federated Learning (ICLR '20)
On the Convergence of FedAvg on Non-IID Data
A collection of Google research projects related to Federated Learning and Federated Analytics.
A framework for implementing federated learning
SRDS 2020: End-to-End Evaluation of Federated Learning and Split Learning for Internet of Things
Implementation of Communication-Efficient Learning of Deep Networks from Decentralized Data
Unofficial Pytorch implementation of "Federated Meta-Learning with Fast Convergence and Efficient Communication"
An Implementation of the Federated Averaging Algorithm as described in the Paper - Communication-Efficient Learning of Deep Networks from Decentralized Data by H. Brendan McMahan, Eider Moore, Daniel Ramage, Seth Hampson, Blaise Agüera y Arcas
Code for Federated Learning with Matched Averaging, ICLR 2020.
FedMD: Heterogenous Federated Learning via Model Distillation
A Research-oriented Federated Learning Library. Supporting distributed computing, mobile/IoT on-device training, and standalone simulation. Best Paper Award at NeurIPS 2020 Federated Learning workshop. Join our Slack Community:(https://join.slack.com/t/fedml/shared_invite/zt-havwx1ee-a1xfOUrATNfc9DFqU~r34w)
FedML-IoT: Federated Learning on IoT Devices (supported by FedML framework)
Federated Optimization in Heterogeneous Networks (MLSys '20)
FedPSO: Federated Learning Using Particle Swarm Optimization to Reduce Communication Costs
Code for paper ``Communication-Efficient Federated Learning with Binary Neural Networks'', submitted to JSAC 2021
Deep Learning Gravity Optimizer Source Code Repository
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.