apple / ml-flair
A large labelled image dataset for benchmarking in federated learning
☆95Updated last year
Alternatives and similar repositories for ml-flair:
Users that are interested in ml-flair are comparing it to the libraries listed below
- Breaching privacy in federated learning scenarios for vision and text☆281Updated 11 months ago
- Differentially-private transformers using HuggingFace and Opacus☆133Updated 6 months ago
- Fast, memory-efficient, scalable optimization of deep learning with differential privacy☆115Updated 2 months ago
- Federated Learning Simulator (FLSim) is a flexible, standalone core library that simulates FL settings with a minimal, easy-to-use API. F…☆257Updated 6 months ago
- Private Evolution: Generating DP Synthetic Data without Training [ICLR 2024, ICML 2024 Spotlight]☆90Updated last month
- The is the official implementation of ICML 2023 paper "Revisiting Weighted Aggregation in Federated Learning with Neural Networks".☆55Updated last year
- Federated Learning with Partial Model Personalization☆42Updated 2 years ago
- A codebase that makes differentially private training of transformers easy.☆171Updated 2 years ago
- Advanced Privacy-Preserving Federated Learning framework☆111Updated this week
- [NeurIPS 2022] JAX/Haiku implementation of "On Privacy and Personalization in Cross-Silo Federated Learning"☆26Updated last year
- Official repository for Local Learning Matters: Rethinking Data Heterogeneity in Federated Learning [CVPR 2022 Oral, Best Paper Finalist]☆60Updated 2 years ago
- Papers related to federated learning in top conferences (2020-2024).☆68Updated 5 months ago
- ☆105Updated 2 years ago
- ICLR 2022, "FedBABU: Toward Enhanced Representation for Federated Image Classification"☆50Updated 3 years ago
- An implementation for "Federated Learning with Non-IID Data via Local Drift Decoupling and Correction"☆82Updated 3 years ago
- ☆68Updated 2 months ago
- (NeurIPS 2022) Official Implementation of "Preservation of the Global Knowledge by Not-True Distillation in Federated Learning"☆84Updated 2 years ago
- Simulation framework for accelerating research in Private Federated Learning☆318Updated last month
- Algorithms for Privacy-Preserving Machine Learning in JAX☆93Updated 9 months ago
- Membership Inference Competition☆31Updated last year
- diaoenmao / HeteroFL-Computation-and-Communication-Efficient-Federated-Learning-for-Heterogeneous-Clients[ICLR 2021] HeteroFL: Computation and Communication Efficient Federated Learning for Heterogeneous Clients☆160Updated 2 years ago
- Code for Data Poisoning Attacks Against Federated Learning Systems☆185Updated 3 years ago
- Code and data accompanying the FedGen paper☆251Updated 4 months ago
- Federated Learning Utilities and Tools for Experimentation☆187Updated last year
- [CVPR 2024] Official Repository for "FedSelect: Personalized Federated Learning with Customized Selection of Parameters for Fine-Tuning"☆21Updated 4 months ago
- A Simulator for Privacy Preserving Federated Learning☆93Updated 4 years ago
- A fast algorithm to optimally compose privacy guarantees of differentially private (DP) mechanisms to arbitrary accuracy.☆73Updated last year
- ☆54Updated 3 years ago
- Official implementation of "Provable Defense against Privacy Leakage in Federated Learning from Representation Perspective"☆55Updated last year
- DP-FTRL from "Practical and Private (Deep) Learning without Sampling or Shuffling" for centralized training.☆28Updated 7 months ago