Alternatives and similar repositories for python-fhez

Users that are interested in python-fhez are comparing it to the libraries listed below

• awslabs / privacy-preserving-xgboost-inference
  Privacy-preserving XGBoost Inference
  ☆49Updated 2 years ago
• mc2-project / secure-xgboost
  Secure collaborative training and inference for XGBoost.
  ☆105Updated 2 years ago
• dhuynh95 / cryptotree
  Homomorphic Random Forest library
  ☆17Updated 2 years ago
• DachengLi1 / MPCFormer
  (ICLR 2023 Spotlight) MPCFormer: fast, performant, and private transformer inference with MPC
  ☆99Updated 2 years ago
• IFCA-Advanced-Computing / pycanon
  pyCANON is a Python library and CLI to assess the values of the parameters associated with the most common privacy-preserving techniques.
  ☆40Updated last week
• sarus-tech / dp-xgboost
  ☆24Updated last year
• OpenMined / PipelineDP
  PipelineDP is a Python framework for applying differentially private aggregations to large datasets using batch processing systems such a…
  ☆279Updated last month
• ibarrond / Pyfhel
  PYthon For Homomorphic Encryption Libraries, perform encrypted computations such as sum, mult, scalar product or matrix multiplication in…
  ☆518Updated last month
• tf-encrypted / tf-seal
  Bridge between TensorFlow and the Microsoft SEAL homomorphic encryption library
  ☆95Updated 5 years ago
• TUM-AIMED / hyfed
  The HyFed framework provides an easy-to-use API to develop federated, privacy-preserving machine learning algorithms.
  ☆18Updated 3 years ago
• intel / he-transformer
  nGraph-HE: Deep learning with Homomorphic Encryption (HE) through Intel nGraph
  ☆174Updated 2 years ago
• scaleoutsystems / fedn
  An enterprise-ready and vendor-agnostic federated learning platform.
  ☆159Updated last week
• gretelai / awesome-synthetic-data
  📖 A curated list of resources dedicated to synthetic data
  ☆132Updated 3 years ago
• OpenMined / TenSEAL
  A library for doing homomorphic encryption operations on tensors
  ☆949Updated 5 months ago
• mpc-msri / EzPC
  ☆431Updated last year
• gkaissis / PriMIA
  PriMIA: Privacy-preserving Medical Image Analysis
  ☆133Updated 2 years ago
• DPBayes / twinify
  A software package for privacy-preserving generation of a synthetic twin to a given sensitive data set.
  ☆55Updated 11 months ago
• mc2-project / mc2
  A Platform for Secure Analytics and Machine Learning
  ☆305Updated 2 years ago
• opendp / smartnoise-sdk
  Tools and service for differentially private processing of tabular and relational data
  ☆276Updated this week
• TheSalon / fast-dpsgd
  Code for fast dpsgd implementations in JAX/TF
  ☆59Updated 2 years ago
• SSGAalto / minionn
  Privacy -preserving Neural Networks
  ☆78Updated 6 years ago
• microsoft / msrflute
  Federated Learning Utilities and Tools for Experimentation
  ☆190Updated last year
• torchfl-org / torchfl
  A Python library for rapid prototyping, experimenting, and logging of federated learning using state-of-the-art models and datasets. Buil…
  ☆42Updated 11 months ago
• inaccel / heflow
  Open source platform for the privacy-preserving machine learning lifecycle
  ☆17Updated last year
• OpenMined / SyMPC
  A SMPC companion library for Syft
  ☆104Updated last month
• joofio / awesome-data-synthesis
  A curated list of awesome resources for creating synthetic data
  ☆43Updated 3 years ago
• lschoe / mpyc
  MPyC: Multiparty Computation in Python
  ☆402Updated this week
• google-research / DP-FTRL
  DP-FTRL from "Practical and Private (Deep) Learning without Sampling or Shuffling" for centralized training.
  ☆29Updated 2 months ago
• google / fedjax
  FedJAX is a JAX-based open source library for Federated Learning simulations that emphasizes ease-of-use in research.
  ☆266Updated 2 weeks ago
• LabeliaLabs / distributed-learning-contributivity
  Simulate collaborative ML scenarios, experiment multi-partner learning approaches and measure respective contributions of different datas…
  ☆58Updated 2 years ago