Alternatives and similar repositories for fedlearn-algo

Users that are interested in fedlearn-algo are comparing it to the libraries listed below

• Raymw / Federated-XGBoost
  Federated Learning on XGBoost
  ☆46Updated 5 years ago
• FudanMPL / SecMML
  SecMML (Queqiao): Secure MPC (multi-party computation) Machine Learning Framework.
  ☆113Updated 2 years ago
• bargavj / distributedMachineLearning
  This work combines differential privacy and multi-party computation protocol to achieve distributed machine learning.
  ☆26Updated 4 years ago
• mc2-project / federated-xgboost
  Federated gradient boosted decision tree learning
  ☆68Updated 2 years ago
• timmers / awesome-federated-learning
  A curated list of resources dedicated to federated learning.
  ☆104Updated 3 years ago
• HikariX / MP-FedXGB
  An Efficient Learning Framework For Federated XGBoostUsing Secret Sharing And Distributed Optimization
  ☆30Updated 6 months ago
• marcoszh / BatchCrypt
  ☆88Updated 5 years ago
• kamathhrishi / PATE
  Pytorch implementation of paper Semi-supervised Knowledge Transfer for Deep Learning from Private Training Data (https://arxiv.org/abs/16…
  ☆44Updated 3 years ago
• lucifer2859 / Paillier-LWE-based-PHE
  Privacy-Preserving Deep Learning via Additively Homomorphic Encryption
  ☆71Updated 4 years ago
• pps-lab / rofl-project-code
  ☆33Updated 2 years ago
• tanjuntao / VFL_paper_list
  vertical federated learning paper lists
  ☆76Updated 4 years ago
• haiphanNJIT / PrivateDeepLearning
  Differential Privacy Preservation in Deep Learning under Model Attacks
  ☆135Updated 4 years ago
• crownpku / federated_shap
  Code for paper "Interpret Federated Learning with Shapley Values"
  ☆39Updated 6 years ago
• mortendahl / awesome-ppml
  A curated list of resources for privacy-preserving machine learning
  ☆149Updated 3 years ago
• OpenMined / PyVertical
  Privacy Preserving Vertical Federated Learning
  ☆218Updated 2 years ago
• Ye-D / PPML-Resource
  Materials about Privacy-Preserving Machine Learning
  ☆257Updated this week
• khoaguin / ppml-materials
  A compiled list of resources and materials for PPML
  ☆11Updated 4 months ago
• steven7woo / Accuracy-First-Differential-Privacy
  Code for NIPS'2017 paper
  ☆51Updated 5 years ago
• ebagdasa / pytorch-privacy
  simple Differential Privacy in PyTorch
  ☆48Updated 5 years ago
• Di-Chai / FedEval
  ☆45Updated last year
• Di-Chai / he-benchmark
  ☆44Updated 3 years ago
• zyplanet / FederatedLearningUsingPysyft
  ☆72Updated last year
• vaikkunth / PrivacyFL
  A Simulator for Privacy Preserving Federated Learning
  ☆94Updated 4 years ago
• ChrisWaites / pyvacy
  Differentially Private Optimization for PyTorch 👁🙅‍♀️
  ☆187Updated 5 years ago
• bargavj / EvaluatingDPML
  This project's goal is to evaluate the privacy leakage of differentially private machine learning models.
  ☆136Updated 2 years ago
• intel / pailliercryptolib_python
  Intel Paillier Cryptosystem Library is an open-source library which provides accelerated performance of a partial homomorphic encryption …
  ☆57Updated 2 months ago
• grasses / Vertical-Federated-Learning
  Code for Paper "Private federated learning on vertically partitioned data via entity resolution and additively homomorphic encryption"
  ☆32Updated 2 years ago
• csong27 / property-inference-collaborative-ml
  Code for Exploiting Unintended Feature Leakage in Collaborative Learning (in Oakland 2019)
  ☆54Updated 6 years ago
• PatrickZH / Improved-Deep-Leakage-from-Gradients
  The code for "Improved Deep Leakage from Gradients" (iDLG).
  ☆155Updated 4 years ago
• open-intelligence / federated-learning-chinese
  ☆110Updated 4 years ago