Metadata-Version: 2.1
Name: flsim
Version: 0.0.0.11
Summary: 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.
Home-page: https://flsim.ai
Author: The FLSim Team
License: Apache-2.0
Project-URL: Documentation, https://flsim.ai/api
Project-URL: Source, https://github.com/facebookresearch/flsim
Description: Model simulation framework simulates model training under FL setting, primarily
        for ML engineers.
        
        Model simulation framework aims to help ML engineers:
         - quickly train an existing model using FL and compare FL training to conventional training
         - quickly iterate to pick best model architecture and hyper-parameters for FL
        
        At the same time, we want the model simulation framework to ensure:
         - quick training/iteration
         - efficient hyper-parameter tuning (Bayesian search)
         - developer environment familiar to ML engineers/researchers
        
        
        Note that this is different from full-stack simulation (a.k.a. Systems Simulation)
        in "papaya/simulation".
        
        
        Components
         - utils
           Handy functionalities for simulating Federated Learning such as a class that
           can simulate event distribution for async FL
        
Keywords: PyTorch,Federated Learning,FL,On device training,Differential Privacy,Secure Aggregation,Privacy Preserving Machine Learning,PPML,PPAI
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Education
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: Topic :: Scientific/Engineering
Requires-Python: >=3.6.8
Description-Content-Type: text/markdown
Provides-Extra: dev
