Alternatives and similar repositories for Benchmarking-Differential-Privacy-and-FederatedLearning-for-Healthcare-Data

Users that are interested in Benchmarking-Differential-Privacy-and-FederatedLearning-for-Healthcare-Data are comparing it to the libraries listed below

• FederatedAI / research
  ☆176Updated last year
• DistributedML / FoolsGold
  A sybil-resilient distributed learning protocol.
  ☆106Updated 2 months ago
• Yangfan-Jiang / Federated-Learning-with-Differential-Privacy
  Implementation of dp-based federated learning framework using PyTorch
  ☆312Updated 2 years ago
• SAP-samples / machine-learning-diff-private-federated-learning
  Simulate a federated setting and run differentially private federated learning.
  ☆382Updated 8 months ago
• SMILELab-FL / FedLab-benchmarks
  Standard federated learning implementations in FedLab and FL benchmarks.
  ☆153Updated last year
• dayu11 / Differentially-Private-Deep-Learning
  This repo implements several algorithms for learning with differential privacy.
  ☆110Updated 2 years ago
• OpenMined / PyVertical
  Privacy Preserving Vertical Federated Learning
  ☆220Updated 2 years ago
• whopriyam / Benchmarking-Differential-Privacy-and-Federated-Learning-for-BERT-Models
  ☆17Updated 3 years ago
• Billy1900 / Awesome-Differential-Privacy
  Differential private machine learning
  ☆195Updated 3 years ago
• JeffffffFu / DPSUR
  DPSUR
  ☆27Updated 9 months ago
• git-disl / DataPoisoning_FL
  Code for Data Poisoning Attacks Against Federated Learning Systems
  ☆202Updated 4 years ago
• ammartahir24 / SecureAggregation
  An implementation of Secure Aggregation algorithm based on "Practical Secure Aggregation for Privacy-Preserving Machine Learning (Bonawit…
  ☆91Updated 6 years ago
• shaneson0 / attacking_federate_learning
  基于《A Little Is Enough: Circumventing Defenses For Distributed Learning》的联邦学习攻击模型
  ☆65Updated 5 years ago
• vrt1shjwlkr / NDSS21-Model-Poisoning
  Code for NDSS 2021 Paper "Manipulating the Byzantine: Optimizing Model Poisoning Attacks and Defenses Against Federated Learning"
  ☆147Updated 3 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…
  ☆411Updated last year
• ebagdasa / backdoor_federated_learning
  Source code for paper "How to Backdoor Federated Learning" (https://arxiv.org/abs/1807.00459)
  ☆308Updated last year
• GalaxyLearning / GFL
  Galaxy Federated Learning Framework （星际联邦学习框架）
  ☆254Updated 2 years ago
• ppmlguy / DP-AGD
  Concentrated Differentially Private Gradient Descent with Adaptive per-iteration Privacy Budget
  ☆49Updated 7 years ago
• Samuel-Maddock / federated-boosted-dp-trees
  Code for the CCS'22 paper "Federated Boosted Decision Trees with Differential Privacy"
  ☆51Updated 2 years ago
• delta-mpc / crypten_vfl_demo
  vertical federated learning demo with crypten
  ☆47Updated 4 years ago
• GillHuang-Xtler / flPapers
  Paper collection of federated learning. Conferences and Journals Collection for Federated Learning from 2019 to 2021, Accepted Papers, Ho…
  ☆94Updated 3 years ago
• moranant / attacking_distributed_learning
  An implementation for the paper "A Little Is Enough: Circumventing Defenses For Distributed Learning" (NeurIPS 2019)
  ☆27Updated 2 years ago
• ipc-lab / private-ml-for-health
  Dopamine: Differentially Private Federated Learning on Medical Data (AAAI - PPAI)
  ☆75Updated 9 months ago
• XinyiYS / Robust-and-Fair-Federated-Learning
  Implementing the algorithm from our paper: "A Reputation Mechanism Is All You Need: Collaborative Fairness and Adversarial Robustness in …
  ☆37Updated last year
• gitgik / differential-privacy-federated-learning
  Curated notebooks on how to train neural networks using differential privacy and federated learning.
  ☆67Updated 4 years ago
• BorjaBalle / amplification-by-shuffling
  Implementation of calibration bounds for differential privacy in the shuffle model
  ☆21Updated 5 years ago
• tanjuntao / VFL_paper_list
  vertical federated learning paper lists
  ☆77Updated 4 years ago
• Antonious-Grigis / Shuffled-Model-of-Differential-Privacy-in-Federated-Learning
  Implementation of Shuffled Model of Differential Privacy in Federated Learning." AISTATS, 2021.
  ☆18Updated 3 years ago
• JeffffffFu / Awesome-Differential-Privacy-and-Meachine-Learning
  Paper notes and code for differentially private machine learning
  ☆365Updated 2 months ago
• lunan0320 / FedPHE
  [INFOCOM24' & TDSC25']FedPHE & Efficient and Straggler-Resistant Homomorphic Encryption for Heterogeneous Federated Learning
  ☆38Updated 2 months ago