apple / ml-flairLinks
A large labelled image dataset for benchmarking in federated learning
☆100Updated last year
Alternatives and similar repositories for ml-flair
Users that are interested in ml-flair are comparing it to the libraries listed below
Sorting:
- Federated Learning Simulator (FLSim) is a flexible, standalone core library that simulates FL settings with a minimal, easy-to-use API. F…☆262Updated last year
- Breaching privacy in federated learning scenarios for vision and text☆304Updated 3 weeks ago
- Fast, memory-efficient, scalable optimization of deep learning with differential privacy☆129Updated last month
- DP-FTRL from "Practical and Private (Deep) Learning without Sampling or Shuffling" for centralized training.☆30Updated 3 months ago
- A codebase that makes differentially private training of transformers easy.☆175Updated 2 years ago
- Algorithms for Privacy-Preserving Machine Learning in JAX☆96Updated last week
- Algorithms to recover input data from their gradient signal through a neural network☆301Updated 2 years ago
- A fast algorithm to optimally compose privacy guarantees of differentially private (DP) mechanisms to arbitrary accuracy.☆73Updated last year
- [NeurIPS 2022] JAX/Haiku implementation of "On Privacy and Personalization in Cross-Silo Federated Learning"☆27Updated 2 years ago
- Differentially-private transformers using HuggingFace and Opacus☆142Updated last year
- ☆80Updated 3 years ago
- Privacy Preserving Vertical Federated Learning☆218Updated 2 years ago
- A collection of Google research projects related to Federated Learning and Federated Analytics.☆732Updated 3 months ago
- Code repo for the paper "Privacy-aware Compression for Federated Data Analysis".☆19Updated 2 years ago
- Security and Privacy Risk Simulator for Machine Learning (arXiv:2312.17667)☆408Updated 3 months ago
- Membership Inference Competition☆31Updated 2 years ago
- The is the official implementation of ICML 2023 paper "Revisiting Weighted Aggregation in Federated Learning with Neural Networks".☆59Updated 2 years ago
- ☆16Updated 6 years ago
- Simulation framework for accelerating research in Private Federated Learning☆337Updated 2 weeks ago
- autodp: A flexible and easy-to-use package for differential privacy☆275Updated last year
- Private Evolution: Generating DP Synthetic Data without Training [ICLR 2024, ICML 2024 Spotlight]☆101Updated 2 weeks ago
- ☆54Updated 4 years ago
- An enterprise-ready and vendor-agnostic federated learning platform.☆161Updated this week
- ☆85Updated 3 months ago
- Code to reproduce experiments in "Antipodes of Label Differential Privacy PATE and ALIBI"☆32Updated 3 years ago
- The code for "Improved Deep Leakage from Gradients" (iDLG).☆155Updated 4 years ago
- Simplicial-FL to manage client device heterogeneity in Federated Learning☆22Updated 2 years ago
- Papers related to federated learning in top conferences (2020-2024).☆69Updated 11 months ago
- Code and data accompanying the FedGen paper☆251Updated 10 months ago
- Federated Learning with Partial Model Personalization☆43Updated 3 years ago