FLSim
FL simulator
A flexible framework for simulating federated learning settings with minimal API and supports differential privacy, secure aggregation, and compression techniques.
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.
253 stars
25 watching
59 forks
Language: Python
last commit: 4 months ago Related projects:
| Repository | Description | Stars |
|---|---|---|
| facebookresearch/fmmax | An implementation of the Fourier modal method for simulating electromagnetic waves in periodic media | 103 |
 zoesgithub/fedreg | An algorithm to improve convergence rates and protect privacy in Federated Learning by addressing the catastrophic forgetting issue during local training | 26 |
 microsoft/msrflute | A platform for conducting high-performance federated learning simulations in Python. | 185 |
 sap-samples/machine-learning-diff-private-federated-learning | Simulates a federated learning setting to preserve individual data privacy | 365 |
 symbioticlab/fedscale | A federated learning platform with tools and datasets for scalable and extensible machine learning experimentation | 390 |
 cuis15/fcfl | An implementation of Fair and Consistent Federated Learning using Python. | 20 |
 fasferraz/sgs | A lightweight SCTP server in Python that simulates SGs messages and procedures for testing purposes | 5 |
 substra/substra | Enables the training and validation of machine learning models on distributed datasets in a secure and scalable manner. | 274 |
 ibm/fl-arbitrary-participation | Analyzes Federated Learning with Arbitrary Client Participation using various optimization strategies and datasets. | 4 |
 dawenzi098/sfl-structural-federated-learning | A Python implementation of Personalized Federated Learning with Graph using PyTorch. | 49 |
 freand76/digsim | A tool for simulating and analyzing digital logic circuits in an interactive environment. | 17 |
 nickuraltsev/finity | A finite state machine library with event-based, time-based, and Promise-based triggers. | 131 |
 omarfoq/fedem | Develops and evaluates federated learning algorithms for personalizing machine learning models across heterogeneous client data distributions. | 157 |
 xtra-computing/fedsim | A framework that enables federated learning across multiple datasets while optimizing model performance with record similarities. | 25 |
 fangxiuwen/robust_fl | An implementation of a robust federated learning framework for handling noisy and heterogeneous clients in machine learning. | 43 |