NVIDIA FLARE

Tutorial Catalog

Explore our extensive catalog of tutorials of NVIDIA FLARE features and examples for various applications. Use the tags to filter by categories such as level, applications, frameworks, etc. or search for keywords. To read more, visit our documentation and GitHub.

LLM Tuning via HuggingFace SFT Trainer

adv.
algorithm
huggingface
llm

Example for using NVIDIA FLARE with a HuggingFace trainer for LLM tuning tasks.

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Survival Analysis with Federated Kaplan-Meier

int.
algorithm
healthcare
client-api
model-controller
he
analytics

Kaplan-Meier survival analysis in federated setting without and with secure features via time-binning and Homomorphic Encryption (HE).

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Real-world Federated Learning with CIFAR-10

int.
algorithm
poc
pytorch
learner
dl
he

Provisioning secure workspace and running FedAvg with streaming of TensorBoard metrics to the server during training and homomorphic encryption.

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Financial Application with Federated XGBoost Methods

adv.
algorithm
xgboost
finance

Example using XGBoost in vertical and horizontal approaches to train a federated model to perform fraud detection with a finance dataset.

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Parameter Efficient Fine Turning

adv.
algorithm
nemo
llm

Example utilizing NeMo's PEFT methods to adapt a LLM to a downstream task.

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Tutorial Catalog

Experience Level

Tutorial Category

Application Type

Framework

Industry Domain

FLARE API

Privacy Algorithm

Highlights

LLM Tuning via HuggingFace SFT Trainer

Survival Analysis with Federated Kaplan-Meier

Real-world Federated Learning with CIFAR-10

Financial Application with Federated XGBoost Methods

Parameter Efficient Fine Turning