microsoft / fl-simulationLinks
A flexible framework for running experiments with PyTorch models in a simulated Federated Learning (FL) environment.
☆15Updated 2 years ago
Alternatives and similar repositories for fl-simulation
Users that are interested in fl-simulation are comparing it to the libraries listed below
Sorting:
- Federated Learning with Partial Model Personalization☆42Updated 3 years ago
- Official repo for the paper: Recovering Private Text in Federated Learning of Language Models (in NeurIPS 2022)☆61Updated 2 years ago
- ☆11Updated last year
- Enhancing Efficiency in Multidevice Federated Learning through Data Selection☆13Updated last year
- The implementation of FedMix☆11Updated 3 years ago
- Simplicial-FL to manage client device heterogeneity in Federated Learning☆22Updated 2 years ago
- Private Adaptive Optimization with Side Information (ICML '22)☆16Updated 3 years ago
- [NeurIPS'23] FedL2P: Federated Learning to Personalize☆24Updated 2 months ago
- Repo to reproduce results for Where to Begin? On the Impact of Pre-Training and Initialization in Federated Learning☆25Updated 2 years ago
- Membership Inference Competition☆32Updated 2 years ago
- Federated posterior averaging implemented in JAX☆53Updated 2 years ago
- [ICLR 2023] Test-time Robust Personalization for Federated Learning☆55Updated 2 years ago
- Federated Learning Framework Benchmark (UniFed)☆49Updated 2 years ago
- [DMLR 2024] FedAIoT: A Federated Learning Benchmark for Artificial Intelligence of Things☆59Updated last year
- TextHide: Tackling Data Privacy in Language Understanding Tasks☆31Updated 4 years ago
- ☆23Updated 3 years ago
- ☆27Updated 3 years ago
- Federated Principal Component Analysis Revisited!☆43Updated 4 years ago
- Official code for "Personalized Federated Learning through Local Memorization" (ICML'22)☆44Updated 2 years ago
- [ICLR2022] Efficient Split-Mix federated learning for in-situ model customization during both training and testing time☆47Updated 2 years ago
- [KDD2021] Federated Adversarial Debiasing for Fair and Transferable Representations: Optimize an adversarial domain-adaptation objective …☆26Updated 2 years ago
- code release for "Unrolling SGD: Understanding Factors Influencing Machine Unlearning" published at EuroS&P'22☆24Updated 3 years ago
- ☆25Updated last year
- Salvaging Federated Learning by Local Adaptation☆56Updated last year
- ☆31Updated 4 years ago
- ☆25Updated 3 years ago
- ☆54Updated 4 years ago
- The official implement of paper "Does Federated Learning Really Need Backpropagation?"☆23Updated 2 years ago
- This repo implements several algorithms for learning with differential privacy.☆110Updated 3 years ago
- Federated Learning - PyTorch☆15Updated 4 years ago