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.
☆268Aug 26, 2024Updated 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.☆412Dec 18, 2023Updated 2 years ago
- Research and experimental code related to Opacus, an open-source library for training PyTorch models with Differential Privacy☆18Oct 9, 2024Updated last year
- Leaf: A Benchmark for Federated Settings☆904Mar 24, 2023Updated 2 years ago
- A collection of Google research projects related to Federated Learning and Federated Analytics.☆746Jun 10, 2025Updated 9 months ago
- A flexible Federated Learning Framework based on PyTorch, simplifying your Federated Learning research.☆823Oct 20, 2025Updated 5 months ago
- Federated Learning Utilities and Tools for Experimentation☆194Jan 11, 2024Updated 2 years ago
- [ICLR 2021] HeteroFL: Computation and Communication Efficient Federated Learning for Heterogeneous Clients☆180Feb 27, 2023Updated 3 years ago
- Practical One-Shot Federated Learning for Cross-Silo Setting☆41May 21, 2021Updated 4 years ago
- All materials you need for Federated Learning: blogs, videos, papers, and softwares, etc.☆729Nov 16, 2025Updated 4 months ago
- Training PyTorch models with differential privacy☆1,912Updated this week
- FedJAX is a JAX-based open source library for Federated Learning simulations that emphasizes ease-of-use in research.☆273Jan 23, 2026Updated last month
- Federated Block Coordinate Descent (FedBCD) code for "Federated Block Coordinate Descent Scheme for Learning Global and Personalized Mode…☆16Dec 27, 2020Updated 5 years ago
- 📦 Collect some Asynchronous Federated Learning papers.☆125Jan 11, 2024Updated 2 years ago
- Simulation framework for accelerating research in Private Federated Learning☆352Mar 13, 2026Updated last week
- Simplicial-FL to manage client device heterogeneity in Federated Learning☆22Aug 3, 2023Updated 2 years ago
- Master Federated Learning in 2 Hours—Run It on Your PC!☆2,089Jan 25, 2026Updated last month
- A large labelled image dataset for benchmarking in federated learning☆104Mar 6, 2024Updated 2 years ago
- FL_PyTorch: Optimization Research Simulator for Federated Learning☆35Jul 7, 2023Updated 2 years ago
- An experimental platform for federated learning.☆626Jun 4, 2025Updated 9 months ago
- FedML - The Research and Production Integrated Federated Learning Library: https://fedml.ai☆2,005Sep 3, 2022Updated 3 years ago
- Federated Learning Benchmark - Federated Learning on Non-IID Data Silos: An Experimental Study (ICDE 2022)☆614Feb 26, 2024Updated 2 years ago
- ICML2022: Virtual Homogeneity Learning: Defending against Data Heterogeneity in Federated Learning☆41Oct 9, 2022Updated 3 years ago
- Privacy Preserving Vertical Federated Learning☆222Jun 1, 2023Updated 2 years ago
- ☆19Mar 13, 2024Updated 2 years ago
- KDD 2023 accepted paper, FedCP: Separating Feature Information for Personalized Federated Learning via Conditional Policy☆33Dec 17, 2024Updated last year
- Handy PyTorch implementation of Federated Learning (for your painless research)☆468Nov 16, 2023Updated 2 years ago
- ☆23Feb 4, 2023Updated 3 years ago
- Code for the CCS'22 paper "Federated Boosted Decision Trees with Differential Privacy"☆56Oct 19, 2023Updated 2 years ago
- [CVPRW 2023] "Many-Task Federated Learning: A New Problem Setting and A Simple Baseline" by Ruisi Cai, Xiaohan Chen, Shiwei Liu, Jayanth …☆13Aug 28, 2023Updated 2 years ago
- Code for the paper "Pretrained Models for Multilingual Federated Learning" at NAACL 2022☆11Aug 9, 2022Updated 3 years ago
- Code to reproduce experiments in "Antipodes of Label Differential Privacy PATE and ALIBI"☆32Apr 25, 2022Updated 3 years ago
- An Open Framework for Federated Learning.☆831Feb 21, 2026Updated 3 weeks ago
- [ACM MobiCom 2022] "PyramidFL: Fine-grained Data and System Heterogeneity-aware Client Selection for Efficient Federated Learning" by Che…☆70Jul 25, 2022Updated 3 years ago
- The code for "Improved Deep Leakage from Gradients" (iDLG).☆166Mar 4, 2021Updated 5 years ago
- Federated posterior averaging implemented in JAX☆53Apr 13, 2023Updated 2 years ago
- Official code for "Personalized Federated Learning through Local Memorization" (ICML'22)☆44Jun 12, 2023Updated 2 years ago
- [ICLR'21] FedBN: Federated Learning on Non-IID Features via Local Batch Normalization☆273Nov 13, 2025Updated 4 months ago
- Flower: A Friendly Federated AI Framework☆6,714Updated this week
- ☆117Feb 27, 2023Updated 3 years ago