Alternatives and similar repositories for ml-flair

Users that are interested in ml-flair are comparing it to the libraries listed below

• facebookresearch / FLSim
  Federated Learning Simulator (FLSim) is a flexible, standalone core library that simulates FL settings with a minimal, easy-to-use API. F…
  ☆266Updated last year
• google-research / DP-FTRL
  DP-FTRL from "Practical and Private (Deep) Learning without Sampling or Shuffling" for centralized training.
  ☆35Updated 8 months ago
• JonasGeiping / breaching
  Breaching privacy in federated learning scenarios for vision and text
  ☆312Updated 2 weeks ago
• awslabs / fast-differential-privacy
  Fast, memory-efficient, scalable optimization of deep learning with differential privacy
  ☆139Updated 2 weeks ago
• microsoft / dp-transformers
  Differentially-private transformers using HuggingFace and Opacus
  ☆146Updated last year
• kenziyuliu / private-cross-silo-fl
  [NeurIPS 2022] JAX/Haiku implementation of "On Privacy and Personalization in Cross-Silo Federated Learning"
  ☆27Updated 2 years ago
• microsoft / DPSDA
  Private Evolution: Generating DP Synthetic Data without Training [ICLR 2024, ICML 2024 Spotlight]
  ☆111Updated 3 months ago
• lxuechen / private-transformers
  A codebase that makes differentially private training of transformers easy.
  ☆183Updated 3 years ago
• google-deepmind / jax_privacy
  Algorithms for Privacy-Preserving Machine Learning in JAX
  ☆148Updated last week
• apple / pfl-research
  Simulation framework for accelerating research in Private Federated Learning
  ☆351Updated 3 months ago
• kenziyuliu / pets-challenge
  ☆11Updated last year
• microsoft / prv_accountant
  A fast algorithm to optimally compose privacy guarantees of differentially private (DP) mechanisms to arbitrary accuracy.
  ☆76Updated last year
• JonasGeiping / invertinggradients
  Algorithms to recover input data from their gradient signal through a neural network
  ☆311Updated 2 years ago
• facebookresearch / dp_compression
  Code repo for the paper "Privacy-aware Compression for Federated Data Analysis".
  ☆19Updated 2 years ago
• microsoft / MICO
  Membership Inference Competition
  ☆32Updated 2 years ago
• facebookresearch / FL_partial_personalization
  Federated Learning with Partial Model Personalization
  ☆42Updated 3 years ago
• google-research / federated
  A collection of Google research projects related to Federated Learning and Federated Analytics.
  ☆742Updated 8 months ago
• Chung-ju / Federated-learning-papers
  Papers related to federated learning in top conferences (2020-2024).
  ☆69Updated last year
• SPIN-UMass / MembershipWhiteboxAttacks
  ☆16Updated 6 years ago
• ftramer / Handcrafted-DP
  ☆80Updated 3 years ago
• woodyx218 / opacus_global_clipping
  ☆15Updated 2 years ago
• vaikkunth / PrivacyFL
  A Simulator for Privacy Preserving Federated Learning
  ☆96Updated 5 years ago
• Liangqiong / ViT-FL-main
  ☆115Updated 2 years ago
• OpenMined / PyVertical
  Privacy Preserving Vertical Federated Learning
  ☆222Updated 2 years ago
• krishnap25 / simplicial-fl
  Simplicial-FL to manage client device heterogeneity in Federated Learning
  ☆22Updated 2 years ago
• Samuel-Maddock / federated-boosted-dp-trees
  Code for the CCS'22 paper "Federated Boosted Decision Trees with Differential Privacy"
  ☆53Updated 2 years ago
• facebookresearch / label_dp_antipodes
  Code to reproduce experiments in "Antipodes of Label Differential Privacy PATE and ALIBI"
  ☆32Updated 3 years ago
• ZexiLee / ICML-2023-FedLAW
  The is the official implementation of ICML 2023 paper "Revisiting Weighted Aggregation in Federated Learning with Neural Networks".
  ☆62Updated 2 years ago
• AI-secure / DataLens
  [CCS 2021] "DataLens: Scalable Privacy Preserving Training via Gradient Compression and Aggregation" by Boxin Wang*, Fan Wu*, Yunhui Long…
  ☆36Updated 4 years ago
• Koukyosyumei / AIJack
  Security and Privacy Risk Simulator for Machine Learning (arXiv:2312.17667)
  ☆420Updated last month