facebookresearch / FLSimLinks
Federated Learning Simulator (FLSim) is a flexible, standalone core library that simulates FL settings with a minimal, easy-to-use API. FLSim is domain-agnostic and accommodates many use cases such as vision and text.
☆264Updated last year
Alternatives and similar repositories for FLSim
Users that are interested in FLSim are comparing it to the libraries listed below
Sorting:
- FedScale is a scalable and extensible open-source federated learning (FL) platform.☆405Updated last year
- A collection of Google research projects related to Federated Learning and Federated Analytics.☆737Updated 5 months ago
- Privacy Preserving Vertical Federated Learning☆220Updated 2 years ago
- A library for federated learning (a distributed machine learning process) in an enterprise environment.☆521Updated 2 months ago
- A large labelled image dataset for benchmarking in federated learning☆102Updated last year
- Breaching privacy in federated learning scenarios for vision and text☆307Updated 3 months ago
- Leaf: A Benchmark for Federated Settings☆894Updated 2 years ago
- DP-FTRL from "Practical and Private (Deep) Learning without Sampling or Shuffling" for centralized training.☆34Updated 6 months ago
- Plato: A Research Framework for Federated Learning☆386Updated 2 weeks ago
- diaoenmao / HeteroFL-Computation-and-Communication-Efficient-Federated-Learning-for-Heterogeneous-Clients[ICLR 2021] HeteroFL: Computation and Communication Efficient Federated Learning for Heterogeneous Clients☆177Updated 2 years ago
- FedTorch is a generic repository for benchmarking different federated and distributed learning algorithms using PyTorch Distributed API.☆192Updated 7 months ago
- Personalized Federated Learning with Moreau Envelopes (pFedMe) using Pytorch (NeurIPS 2020)☆306Updated 3 years ago
- Federated Learning Utilities and Tools for Experimentation☆192Updated last year
- Security and Privacy Risk Simulator for Machine Learning (arXiv:2312.17667)☆411Updated last month
- Implementation of dp-based federated learning framework using PyTorch☆313Updated 2 years ago
- [NeurIPS 2019 FL workshop] Federated Learning with Local and Global Representations☆242Updated last year
- Handy PyTorch implementation of Federated Learning (for your painless research)☆460Updated 2 years ago
- A Simulator for Privacy Preserving Federated Learning☆96Updated 4 years ago
- Code for Federated Learning with Matched Averaging, ICLR 2020.☆341Updated 4 years ago
- PyTorch for benchmarking communication-efficient distributed SGD optimization algorithms☆78Updated 4 years ago
- Advanced Privacy-Preserving Federated Learning framework☆157Updated this week
- Fast, memory-efficient, scalable optimization of deep learning with differential privacy☆135Updated 3 months ago
- FedJAX is a JAX-based open source library for Federated Learning simulations that emphasizes ease-of-use in research.☆266Updated 4 months ago
- ☆176Updated last year
- autodp: A flexible and easy-to-use package for differential privacy☆276Updated 2 years ago
- resources about federated learning and privacy in machine learning☆540Updated last year
- An enterprise-ready and vendor-agnostic federated learning platform.☆165Updated last week
- Official code for "Federated Multi-Task Learning under a Mixture of Distributions" (NeurIPS'21)☆165Updated 3 years ago
- Code and data accompanying the FedGen paper☆256Updated last year
- A tree-based federated learning system (MLSys 2023)☆151Updated 10 months ago