Alternatives and similar repositories for Federated-Learning-FAQ

Users that are interested in Federated-Learning-FAQ are comparing it to the libraries listed below

• open-intelligence / federated-learning-chinese
  ☆111Updated 4 years ago
• WHDY / FedAvg
  Implement FedAvg algorithm based on Tensorflow
  ☆251Updated 4 years ago
• SMILELab-FL / FedLab-benchmarks
  Standard federated learning implementations in FedLab and FL benchmarks.
  ☆153Updated last year
• lxcnju / FedRepo
  ☆175Updated 2 years ago
• iQua / flsim
  A simulation framework for Federated Learning written in PyTorch
  ☆206Updated 3 years ago
• GalaxyLearning / GFL
  Galaxy Federated Learning Framework （星际联邦学习框架）
  ☆251Updated 2 years ago
• lx10077 / fedavgpy
  On the Convergence of FedAvg on Non-IID Data
  ☆267Updated 2 years ago
• Echo-Wxl / Federated-Learning
  Overview of Federal Learning
  ☆292Updated 2 years ago
• GillHuang-Xtler / flPapers
  Paper collection of federated learning. Conferences and Journals Collection for Federated Learning from 2019 to 2021, Accepted Papers, Ho…
  ☆95Updated 3 years ago
• FederatedAI / research
  ☆175Updated 7 months ago
• felisat / clustered-federated-learning
  Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints
  ☆175Updated 4 years ago
• katsura-jp / fedavg.pytorch
  A PyTorch implementation of "Communication-Efficient Learning of Deep Networks from Decentralized Data", AISTATS, 2017
  ☆83Updated 10 months ago
• wenzhu23333 / Federated-Learning
  An open source FL implement with dataset(Femnist, Shakespeare, MNIST, Cifar-10 and Fashion-Mnist) using pytorch
  ☆127Updated 2 years ago
• NUAA-SmartSensing / FedModule
  联邦学习模块化框架，支持各类FL。A universal federated learning framework, free to switch thread and process modes
  ☆170Updated 2 months ago
• rruisong / pytorch_federated_learning
  PyTorch Federated Learning (easy to use and extend)
  ☆261Updated last year
• Yangfan-Jiang / Federated-Learning-with-Differential-Privacy
  Implementation of dp-based federated learning framework using PyTorch
  ☆300Updated 2 years ago
• wenzhu23333 / Differential-Privacy-Based-Federated-Learning
  Everything you want about DP-Based Federated Learning, including Papers and Code. (Mechanism: Laplace or Gaussian, Dataset: femnist, shak…
  ☆386Updated 7 months ago
• WenkeHuang / Pytorch_FedMD
  ☆74Updated 4 years ago
• Willjay5991 / federatedLearning-DP-my
  联邦学习分布式训练MNist数据集
  ☆59Updated 5 years ago
• omarfoq / FedEM
  Official code for "Federated Multi-Task Learning under a Mixture of Distributions" (NeurIPS'21)
  ☆162Updated 2 years ago
• Accenture / Labs-Federated-Learning
  Accenture Labs Federated Learning
  ☆102Updated last year
• JeffffffFu / Awesome-Differential-Privacy-and-Meachine-Learning
  Paper notes and code for differentially private machine learning
  ☆356Updated 6 months ago
• orion-orion / FedCom
  🔬 FedCom为SWPU2022届本科毕业设计《基于社区检测的多任务聚类联邦学习》。本研究提出了一种多任务聚类联邦学习（clustered federated learning, CFL）的新方法，该方法的特点是基于社区检测（community detection）来进…
  ☆66Updated 2 years ago
• SMILELab-FL / Dive-into-Federated-Learning
  Tutorials and paper lists for federated learning
  ☆67Updated 3 years ago
• pliang279 / LG-FedAvg
  [NeurIPS 2019 FL workshop] Federated Learning with Local and Global Representations
  ☆237Updated 10 months ago
• Xtra-Computing / NIID-Bench
  Federated Learning Benchmark - Federated Learning on Non-IID Data Silos: An Experimental Study (ICDE 2022)
  ☆597Updated last year
• zhongjian-zhang / FederalLearning
  通过阅读Communication-Efficient Learning of Deep Networks from Decentralized Data与Robust and Communication-Efficient Federated Learning from …
  ☆37Updated 2 years ago
• diogenes0319 / FedMD_clean
  FedMD: Heterogenous Federated Learning via Model Distillation
  ☆154Updated 4 years ago
• jichan3751 / ifca
  Codebase for An Efficient Framework for Clustered Federated Learning.
  ☆117Updated 4 years ago
• JYWa / FedNova
  PyTorch implementation of FedNova (NeurIPS 2020), and a class of federated learning algorithms, including FedAvg, FedProx.
  ☆213Updated 4 years ago