Alternatives and similar repositories for fedlearn-algo:

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

• liuying350169 / FLSurvey
  ☆22Updated 5 years ago
• Raymw / Federated-XGBoost
  Federated Learning on XGBoost
  ☆46Updated 5 years ago
• tanjuntao / VFL_paper_list
  vertical federated learning paper lists
  ☆75Updated 4 years ago
• lee-man / federated-learning
  Related material on Federated Learning
  ☆26Updated 5 years ago
• fedlearnAI / fedlearn
  联邦学习系统，包括常用算法和通用训练推理系统框架 | Fedlearn Main System, Including Algorithms and Frameworks for Training / Inference.
  ☆73Updated 3 years ago
• khoaguin / ppml-materials
  A compiled list of resources and materials for PPML
  ☆10Updated last week
• FudanMPL / SecMML
  SecMML (Queqiao): Secure MPC (multi-party computation) Machine Learning Framework.
  ☆112Updated last year
• marcoszh / BatchCrypt
  ☆87Updated 4 years ago
• lucifer2859 / Paillier-LWE-based-PHE
  Privacy-Preserving Deep Learning via Additively Homomorphic Encryption
  ☆69Updated 4 years ago
• crownpku / federated_shap
  Code for paper "Interpret Federated Learning with Shapley Values"
  ☆39Updated 5 years ago
• yw3xs / PPDL
  privacy preserving deep learning
  ☆15Updated 7 years ago
• HikariX / MP-FedXGB
  An Efficient Learning Framework For Federated XGBoostUsing Secret Sharing And Distributed Optimization
  ☆30Updated last month
• haiphanNJIT / PrivateDeepLearning
  Differential Privacy Preservation in Deep Learning under Model Attacks
  ☆134Updated 4 years ago
• lingjuanlv / FPPDL
  code for TPDS paper "Towards Fair and Privacy-Preserving Federated Deep Models"
  ☆31Updated 2 years ago
• csong27 / property-inference-collaborative-ml
  Code for Exploiting Unintended Feature Leakage in Collaborative Learning (in Oakland 2019)
  ☆53Updated 5 years ago
• ebagdasa / federated_adaptation
  Salvaging Federated Learning by Local Adaptation
  ☆56Updated 9 months ago
• mkucz95 / encrypted_ai_finance
  Credit Approval Classification Deep Learning Model using Differential Drivacy, Secure Multi-Party Computation, and Federated Learning
  ☆23Updated 2 years ago
• DashanGao / Secret-sharing-based_2PC_vertical_fed_learning
  MPC Secure Multiparty Computation. A three-party secret-sharing-based vertical federated learning setting. The data are vertically parti…
  ☆23Updated 5 years ago
• Di-Chai / he-benchmark
  ☆43Updated 3 years ago
• corentingiraud / federated-learning-secure-aggregation
  A simple Python implementation of a secure aggregation protocole for federated learning.
  ☆35Updated last year
• 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
• FederatedAI / FedRec
  ☆41Updated 2 years ago
• bargavj / distributedMachineLearning
  This work combines differential privacy and multi-party computation protocol to achieve distributed machine learning.
  ☆26Updated 4 years ago
• Di-Chai / FedEval
  ☆42Updated last year
• shaneson0 / attacking_federate_learning
  基于《A Little Is Enough: Circumventing Defenses For Distributed Learning》的联邦学习攻击模型
  ☆62Updated 4 years ago
• Samuel-Maddock / federated-boosted-dp-trees
  Code for the CCS'22 paper "Federated Boosted Decision Trees with Differential Privacy"
  ☆45Updated last year
• pps-lab / rofl-project-code
  ☆32Updated last year
• zyplanet / FederatedLearningUsingPysyft
  ☆73Updated last year
• shaoxiongji / fed-att
  Attentive Federated Learning for Private NLM
  ☆61Updated 9 months ago