cyqclark / fedlearn-algo

Related projects ⓘ

Alternatives and complementary repositories for fedlearn-algo

• yw3xs / PPDL
  privacy preserving deep learning
  ☆15Updated 7 years ago
• kamathhrishi / PATE
  Pytorch implementation of paper Semi-supervised Knowledge Transfer for Deep Learning from Private Training Data (https://arxiv.org/abs/16…
  ☆41Updated 2 years ago
• FederatedAI / FedRec
  ☆39Updated last year
• lee-man / federated-learning
  Related material on Federated Learning
  ☆27Updated 4 years ago
• tanjuntao / VFL_paper_list
  vertical federated learning paper lists
  ☆75Updated 3 years ago
• haiphanNJIT / PrivateDeepLearning
  Differential Privacy Preservation in Deep Learning under Model Attacks
  ☆132Updated 3 years ago
• lucifer2859 / Paillier-LWE-based-PHE
  Privacy-Preserving Deep Learning via Additively Homomorphic Encryption
  ☆67Updated 3 years ago
• lingjuanlv / FPPDL
  code for TPDS paper "Towards Fair and Privacy-Preserving Federated Deep Models"
  ☆31Updated 2 years ago
• HikariX / MP-FedXGB
  An Efficient Learning Framework For Federated XGBoostUsing Secret Sharing And Distributed Optimization
  ☆27Updated 3 years ago
• ebagdasa / pytorch-privacy
  simple Differential Privacy in PyTorch
  ☆48Updated 4 years ago
• Raymw / Federated-XGBoost
  Federated Learning on XGBoost
  ☆46Updated 5 years ago
• Di-Chai / FedEval
  ☆40Updated 6 months ago
• timmers / awesome-federated-learning
  A curated list of resources dedicated to federated learning.
  ☆101Updated 2 years ago
• khoaguin / ppml-materials
  A compiled list of resources and materials for PPML
  ☆9Updated 2 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.
  ☆71Updated 2 years ago
• Samuel-Maddock / federated-boosted-dp-trees
  Code for the CCS'22 paper "Federated Boosted Decision Trees with Differential Privacy"
  ☆43Updated last year
• bargavj / EvaluatingDPML
  This project's goal is to evaluate the privacy leakage of differentially private machine learning models.
  ☆129Updated last year
• ebagdasa / federated_adaptation
  Salvaging Federated Learning by Local Adaptation
  ☆56Updated 3 months ago
• AI-secure / FLBenchmark-toolkit
  Federated Learning Framework Benchmark (UniFed)
  ☆47Updated last year
• mkucz95 / encrypted_ai_finance
  Credit Approval Classification Deep Learning Model using Differential Drivacy, Secure Multi-Party Computation, and Federated Learning
  ☆24Updated last year
• marcoszh / BatchCrypt
  ☆78Updated 4 years ago
• Xtra-Computing / FedTree
  A tree-based federated learning system (MLSys 2023)
  ☆143Updated last year
• Di-Chai / he-benchmark
  ☆42Updated 2 years ago
• ppmlguy / DP-AGD
  Concentrated Differentially Private Gradient Descent with Adaptive per-iteration Privacy Budget
  ☆47Updated 6 years ago
• bargavj / distributedMachineLearning
  This work combines differential privacy and multi-party computation protocol to achieve distributed machine learning.
  ☆26Updated 4 years ago
• shaoxiongji / fed-att
  Attentive Federated Learning for Private NLM
  ☆60Updated 3 months ago
• liuying350169 / FLSurvey
  ☆22Updated 5 years ago
• grasses / Vertical-Federated-Learning
  Code for Paper "Private federated learning on vertically partitioned data via entity resolution and additively homomorphic encryption"
  ☆30Updated last year
• PatrickZH / Improved-Deep-Leakage-from-Gradients
  The code for "Improved Deep Leakage from Gradients" (iDLG).
  ☆143Updated 3 years ago
• XinyiYS / CollaborativeFairFederatedLearning
  Official implementation of our work "Collaborative Fairness in Federated Learning."
  ☆47Updated 5 months ago