apple / ml-flairLinks
A large labelled image dataset for benchmarking in federated learning
☆102Updated 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…☆265Updated last year
- Breaching privacy in federated learning scenarios for vision and text☆308Updated 3 months ago
- Fast, memory-efficient, scalable optimization of deep learning with differential privacy☆135Updated 4 months ago
- Algorithms for Privacy-Preserving Machine Learning in JAX☆135Updated this week
- DP-FTRL from "Practical and Private (Deep) Learning without Sampling or Shuffling" for centralized training.☆34Updated 6 months ago
- Federated Learning with Partial Model Personalization☆42Updated 3 years ago
- Differentially-private transformers using HuggingFace and Opacus☆146Updated last year
- Algorithms to recover input data from their gradient signal through a neural network☆311Updated 2 years ago
- Privacy Preserving Vertical Federated Learning☆221Updated 2 years ago
- A collection of Google research projects related to Federated Learning and Federated Analytics.☆738Updated 6 months ago
- FedScale is a scalable and extensible open-source federated learning (FL) platform.☆408Updated last year
- ☆115Updated 2 years ago
- ☆80Updated 3 years ago
- Simulation framework for accelerating research in Private Federated Learning☆345Updated last month
- [NeurIPS 2022] JAX/Haiku implementation of "On Privacy and Personalization in Cross-Silo Federated Learning"☆27Updated 2 years ago
- Official implementation of "Provable Defense against Privacy Leakage in Federated Learning from Representation Perspective"☆57Updated 2 years ago
- A fast algorithm to optimally compose privacy guarantees of differentially private (DP) mechanisms to arbitrary accuracy.☆75Updated last year
- Official code implementation for "Personalized Federated Learning using Hypernetworks" [ICML 2021]☆194Updated 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
- Papers related to federated learning in top conferences (2020-2024).☆69Updated last year
- A codebase that makes differentially private training of transformers easy.☆181Updated 3 years ago
- Security and Privacy Risk Simulator for Machine Learning (arXiv:2312.17667)☆412Updated 2 months ago
- Official code for "Personalized Federated Learning through Local Memorization" (ICML'22)☆44Updated 2 years ago
- Repo to reproduce results for Where to Begin? On the Impact of Pre-Training and Initialization in Federated Learning☆25Updated 2 years ago
- Federated Learning Utilities and Tools for Experimentation☆193Updated last year
- ☆85Updated 5 months ago
- ☆11Updated last year
- ☆103Updated 11 months ago
- autodp: A flexible and easy-to-use package for differential privacy☆278Updated 2 years ago
- ☆54Updated 4 years ago