Alternatives and similar repositories for federated-learning-tutorial:

Users that are interested in federated-learning-tutorial are comparing it to the libraries listed below

• vaikkunth / PrivacyFL
  A Simulator for Privacy Preserving Federated Learning
  ☆93Updated 4 years ago
• NigeloYang / Fed-DP
  We provide a friendly foundational platform for beginners who intend to start Federated Learning (FL)
  ☆15Updated last month
• git-disl / DataPoisoning_FL
  Code for Data Poisoning Attacks Against Federated Learning Systems
  ☆180Updated 3 years ago
• saranshmanu / Federated-Learning
  Federated Learning is a distributed machine learning approach which enables model training on a large corpus of decentralised data. The r…
  ☆42Updated 5 years ago
• Yangfan-Jiang / Federated-Learning-with-Differential-Privacy
  Implementation of dp-based federated learning framework using PyTorch
  ☆291Updated last year
• ahmedfgad / FederatedLearning
  Federated Learning Demo in Python using Socket Programming
  ☆85Updated 7 months ago
• inspire-group / ModelPoisoning
  Code for "Analyzing Federated Learning through an Adversarial Lens" https://arxiv.org/abs/1811.12470
  ☆147Updated 2 years ago
• OpenMined / PyVertical
  Privacy Preserving Vertical Federated Learning
  ☆217Updated last year
• ebagdasa / backdoor_federated_learning
  Source code for paper "How to Backdoor Federated Learning" (https://arxiv.org/abs/1807.00459)
  ☆287Updated 6 months ago
• AI-secure / CRFL
  CRFL: Certifiably Robust Federated Learning against Backdoor Attacks (ICML 2021)
  ☆71Updated 3 years ago
• SAP-samples / machine-learning-diff-private-federated-learning
  Simulate a federated setting and run differentially private federated learning.
  ☆366Updated 6 months ago
• yjlee22 / FedShare
  PyTorch implementation of Federated Learning with Non-IID Data, and federated learning algorithms, including FedAvg, FedProx.
  ☆117Updated 2 years ago
• diwangs / asynchronous-federated-learning
  Study of data imbalance and asynchronous aggregation algorithm on Federated Learning system (using PySyft)
  ☆61Updated last year
• lishenghui / blades
  ⚔️ Blades: A Unified Benchmark Suite for Attacks and Defenses in Federated Learning
  ☆139Updated this week
• ChanChiChoi / awesome-Federated-Learning
  federated-learning
  ☆83Updated 2 years ago
• fwilhelmi / blockchain_enabled_federated_learning
  Simulation-based performance analysis of server-less Blockchain-enabled Federated Learning
  ☆37Updated 2 years ago
• promotionqw / dfl-working-group
  DFL working group
  ☆33Updated 9 months ago
• DistributedML / Biscotti
  A ledger for private and secure peer to peer machine learning
  ☆107Updated last year
• ayushm-agrawal / Federated-Learning-Implementations
  This repository contains all the implementation of different papers on Federated Learning
  ☆43Updated 4 years ago
• Accenture / Labs-Federated-Learning
  Accenture Labs Federated Learning
  ☆96Updated 11 months ago
• Gharibim / federated_learning_course
  Federated Learning Course Materials
  ☆65Updated 3 years ago
• FELT-Labs / federated-learning-token
  Federated learning on blockchain using smart contracts. Distributed privacy-preserving data science technology.
  ☆50Updated last year
• SMILELab-FL / FedLab-benchmarks
  Standard federated learning implementations in FedLab and FL benchmarks.
  ☆155Updated last year
• andreiliphd / pneumonia-federated-pysyft
  An implementation of pneumonia medical X-ray image classification problem using Federated Learning in PySyft.
  ☆13Updated 5 years ago
• gitgik / differential-privacy-federated-learning
  Curated notebooks on how to train neural networks using differential privacy and federated learning.
  ☆66Updated 4 years ago
• Rachelxuan11 / FLAME
  ☆33Updated 2 years ago
• AI-secure / DBA
  DBA: Distributed Backdoor Attacks against Federated Learning (ICLR 2020)
  ☆183Updated 3 years ago
• abdkhanstd / COVID-19
  Wuhan Corona (COVID-19) patients dataset
  ☆38Updated last year
• mkucz95 / encrypted_ai_finance
  Credit Approval Classification Deep Learning Model using Differential Drivacy, Secure Multi-Party Computation, and Federated Learning
  ☆24Updated 2 years ago
• chenyiadam / FedAVG
  ☆19Updated last year