andreiliphd / pneumonia-federated-pysyft

Related projects: ⓘ

• ipc-lab / private-ml-for-health
  Dopamine: Differentially Private Federated Learning on Medical Data (AAAI - PPAI)
  ☆67Updated 3 years ago
• ivishalanand / Federated-Learning-on-Hospital-Data
  A Federated Learning implementation to diagnose 2 acute inflammations of bladder.. This medical dataset truly needs privacy! Because we c…
  ☆35Updated 4 years ago
• mkucz95 / encrypted_ai_finance
  Credit Approval Classification Deep Learning Model using Differential Drivacy, Secure Multi-Party Computation, and Federated Learning
  ☆24Updated last year
• maxencenoble / Differential-Privacy-for-Heterogeneous-Federated-Learning
  Differentially Private Federated Learning on Heterogeneous Data
  ☆56Updated 2 years ago
• LightSecAgg / MLSys2022_anonymous
  Source code for MLSys 2022 submission "LightSecAgg: a Lightweight and Versatile Design for Secure Aggregation in Federated Learning"
  ☆23Updated 2 years ago
• FebriantiW / Homomorphic-Encryption-and-Federated-Learning-based-Privacy-Preserving-CNN-Training-
  Medical data is often highly sensitive in terms of data privacy and security concerns. Federated learning, one type of machine learn- ing…
  ☆15Updated 2 years ago
• nin-ed / Split-Learning
  ☆8Updated 4 years ago
• ITSEG-MQ / Chain-PPFL
  Chain-PPFL: A Privacy-Preserving Federated Learning Framework based on Chained SMC
  ☆30Updated 4 years ago
• JiangChSo / PFLM
  Privacy-preserving federated learning is distributed machine learning where multiple collaborators train a model through protected gradi…
  ☆26Updated 3 years ago
• tayebiarasteh / federated_he
  Federated learning with homomorphic encryption enables multiple parties to securely co-train artificial intelligence models in pathology …
  ☆20Updated 9 months ago
• TheWitcher05 / Federated_learning_with_differential_privacy
  Differential priavcy based federated learning framework by various neural networks and svm using PyTorch.
  ☆30Updated 3 years ago
• gitgik / differential-privacy-federated-learning
  Curated notebooks on how to train neural networks using differential privacy and federated learning.
  ☆66Updated 3 years ago
• vaikkunth / PrivacyFL
  A Simulator for Privacy Preserving Federated Learning
  ☆93Updated 3 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
• v4va / FedShare
  FedShare: Secure Aggregation based on Additive Secret Sharing in Federated Learning
  ☆15Updated last year
• abogdanova / FL-MIA
  Federated Learning and Membership Inference Attacks experiments on CIFAR10
  ☆18Updated 4 years ago
• yonetaniryo / federated_learning_pytorch
  Simplified implementation of federated learning in PyTorch
  ☆27Updated 3 years ago
• MadeleineJansson / Master-Thesis-Federated-Learning
  Federated learning used to detect credit card fraud
  ☆13Updated 4 years ago
• abbas5253 / SplitNN-for-Vertically-Partitioned-Data
  Integration of SplitNN for vertically partitioned data with OpenMined's PySyft
  ☆26Updated 4 years ago
• eceisik / ece_fl_public
  ☆52Updated 2 years ago
• zyplanet / FederatedLearningUsingPysyft
  ☆72Updated 11 months ago
• TTitcombe / simple-vfl
  A demo of vertical federated learning on simple datasets
  ☆20Updated 3 years ago
• ltzheng / data-privacy
  Preserve data privacy with k-anonymity (samarati & mondrian), differential privacy, federated learning, paillier homomorphic encryption, …
  ☆55Updated 2 years ago
• AdamWei-boop / Federated-Learning-with-Local-Differential-Privacy
  Differential priavcy based federated learning framework by various neural networks and svm using PyTorch.
  ☆41Updated last year
• Antonious-Grigis / Shuffled-Model-of-Differential-Privacy-in-Federated-Learning
  Implementation of Shuffled Model of Differential Privacy in Federated Learning." AISTATS, 2021.
  ☆17Updated last year
• vinuni-vishc / fedDCT
  FedDCT: A Novel Federated Learning Approach for Training Large Convolutional Neural Networks
  ☆34Updated last year
• lainisourgod / hybrid-approach-to-ppfl
  This is an implementation for paper "A Hybrid Approach to Privacy Preserving Federated Learning" (https://arxiv.org/pdf/1812.03224.pdf)
  ☆20Updated 4 years ago
• abdkhanstd / COVID-19
  Wuhan Corona (COVID-19) patients dataset
  ☆37Updated last year
• heroding77 / fedavg_encrypt
  FedAvg code with privacy protection function, the application of Paillier homomorphic encryption algorithm and differential privacy, diff…
  ☆98Updated 2 years ago
• Koukyosyumei / NAIST-FedML-Experiments
  ☆18Updated 2 years ago