NVIDIA FLARE
Introduction
What is Federated Learning?
NVIDIA FLARE Overview
What’s New in FLARE v2.7.0
Installation
Getting Started
Quick Start
Guides
Example Applications
Tutorials
User Guide
Programming Guide
Programming Best Practices
Miscellaneous
Frequently Asked Questions
Publications and Talks
Contributing
API
nvflare package
Subpackages
nvflare.apis package
nvflare.app_common package
nvflare.app_opt package
nvflare.client package
nvflare.dashboard package
nvflare.edge package
Subpackages
nvflare.edge.aggregators package
nvflare.edge.assessors package
nvflare.edge.controllers package
nvflare.edge.device package
Subpackages
nvflare.edge.device.pt package
Submodules
Module contents
nvflare.edge.executors package
nvflare.edge.filters package
nvflare.edge.models package
nvflare.edge.simulation package
nvflare.edge.tools package
nvflare.edge.updaters package
nvflare.edge.web package
nvflare.edge.widgets package
Submodules
Module contents
nvflare.fuel package
nvflare.fuel_opt package
nvflare.ha package
nvflare.job_config package
nvflare.lighter package
nvflare.metrics package
nvflare.private package
nvflare.recipe package
nvflare.security package
nvflare.tool package
nvflare.utils package
nvflare.widgets package
Submodules
Module contents
Glossary
NVIDIA FLARE
nvflare
nvflare package
nvflare.edge package
nvflare.edge.device package
nvflare.edge.device.pt package
nvflare.edge.device.pt.optimizers module
View page source
nvflare.edge.device.pt.optimizers module
¶
class
AdamOptimizerWrapper
(
**
kwargs
)
[source]
¶
Bases:
object
get
(
model_params
,
**
kwargs
)
[source]
¶
class
SGDOptimizerWrapper
(
**
kwargs
)
[source]
¶
Bases:
object
get
(
model_params
,
**
kwargs
)
[source]
¶