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FedDG23 avatar

FedDG23/FedDG-main

0
View on GitHub↗
10 stars·2 forks·Python·9 views

FedDG Main

To setup an environment, please run

Features

  • Federated Learning - Federated learning via deep generative latents and dataset distillation.

Star history

Star history chart for feddg23/feddg-mainStar history chart for feddg23/feddg-main

How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.

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Projects sharing features with FedDG Main

These projects share indexed features with FedDG Main. Shared tags can include platform or build tooling; verify the primary use case before treating a result as a replacement.
  • adap/floweradap avatar

    adap/flower

    6,971View on GitHub↗

    Flower is a federated learning framework and distributed machine learning orchestrator designed to train models across decentralized devices. It functions as a privacy-preserving toolkit that enables model training and data analysis on local hardware, ensuring raw data remains on the device while contributing to a synchronized global model. The system employs an agnostic wrapper and integrator to connect diverse machine learning libraries, allowing different frameworks to operate within the same training loop. It uses a remote procedure call orchestrator to manage the exchange of model weight

    Python
    View on GitHub↗6,971
  • ailabstw/harmoniaailabstw avatar

    ailabstw/harmonia

    17View on GitHub↗

    Federated Learning Made Easy

    Go
    View on GitHub↗17
  • anonymifish/fed-distribution-matchinganonymifish avatar

    anonymifish/fed-distribution-matching

    20View on GitHub↗

    @InProceedings{Xiong2023CVPR, author = {Xiong, Yuanhao and Wang, Ruochen and Cheng, Minhao and Yu, Felix and Hsieh, Cho-Jui}, title = {FedDM: Iterative Distribution Matching for Communication-Efficient Federated Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision…

    Python
    View on GitHub↗20
  • a514514772/fedlap-dpa514514772 avatar

    a514514772/fedlap-dp

    10View on GitHub↗

    Note: this repo is implemented in a sequentially running manner. We are working on a parallel implementation with the Flower framework.

    Python
    View on GitHub↗10
Compare all 17 related projects→

Frequently asked questions

What does feddg23/feddg-main do?

To setup an environment, please run

What are the main features of feddg23/feddg-main?

The main features of feddg23/feddg-main are: Federated Learning.

Which projects share features with feddg23/feddg-main?

Projects with overlapping indexed features include: adap/flower — Flower is a federated learning framework and distributed machine learning orchestrator designed to train models across… ailabstw/harmonia — Federated Learning Made Easy. anonymifish/fed-distribution-matching — @InProceedings{Xiong2023CVPR, author = {Xiong, Yuanhao and Wang, Ruochen and Cheng, Minhao and Yu, Felix and Hsieh,… easyfl-ai/easyfl — An easy-to-use federated learning platform. federatedai/fate — FATE is an open-source federated learning platform that enables multiple organizations to collaboratively train… a514514772/fedlap-dp — Note: this repo is implemented in a sequentially running manner. We are working on a parallel implementation with the…