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…☆264Updated last year
- Breaching privacy in federated learning scenarios for vision and text☆307Updated 3 months ago
- Fast, memory-efficient, scalable optimization of deep learning with differential privacy☆135Updated 3 months ago
- Algorithms for Privacy-Preserving Machine Learning in JAX☆131Updated this week
- DP-FTRL from "Practical and Private (Deep) Learning without Sampling or Shuffling" for centralized training.☆33Updated 5 months ago
- Simulation framework for accelerating research in Private Federated Learning☆344Updated 3 weeks ago
- A codebase that makes differentially private training of transformers easy.☆178Updated 2 years ago
- [NeurIPS 2022] JAX/Haiku implementation of "On Privacy and Personalization in Cross-Silo Federated Learning"☆27Updated 2 years ago
- Algorithms to recover input data from their gradient signal through a neural network☆309Updated 2 years ago
- Privacy Preserving Vertical Federated Learning☆220Updated 2 years ago
- Differentially-private transformers using HuggingFace and Opacus☆143Updated last year
- Federated Learning with Partial Model Personalization☆43Updated 3 years ago
- ☆115Updated 2 years ago
- A collection of Google research projects related to Federated Learning and Federated Analytics.☆737Updated 5 months ago
- FedScale is a scalable and extensible open-source federated learning (FL) platform.☆405Updated last year
- A fast algorithm to optimally compose privacy guarantees of differentially private (DP) mechanisms to arbitrary accuracy.☆74Updated last year
- The is the official implementation of ICML 2023 paper "Revisiting Weighted Aggregation in Federated Learning with Neural Networks".☆59Updated 2 years ago
- An enterprise-ready and vendor-agnostic federated learning platform.☆164Updated this week
- ☆85Updated 5 months ago
- ☆80Updated 3 years ago
- Code repo for the paper "Privacy-aware Compression for Federated Data Analysis".☆19Updated 2 years ago
- ☆54Updated 4 years ago
- Official Repository for MocoSFL (accepted by ICLR '23, notable 5%)☆52Updated 2 years ago
- Official implementation of "Provable Defense against Privacy Leakage in Federated Learning from Representation Perspective"☆57Updated 2 years ago
- ☆11Updated last year
- Papers related to federated learning in top conferences (2020-2024).☆70Updated last year
- Simplicial-FL to manage client device heterogeneity in Federated Learning☆22Updated 2 years ago
- Federated Learning Framework Benchmark (UniFed)☆49Updated 2 years ago
- Private Evolution: Generating DP Synthetic Data without Training [ICLR 2024, ICML 2024 Spotlight]☆107Updated 2 weeks ago
- The code for "Improved Deep Leakage from Gradients" (iDLG).☆157Updated 4 years ago