Holger Roth

Holger Roth, is a principal federated learning scientist at NVIDIA, specializing in developing distributed and collaborative software and models for various industries using federated learning and analytics. He has been exploring the topic both from theoretical and practical standpoints. During the COVID-19 pandemic, he led the experimentation of a federated learning study involving twenty hospitals around the globe to train more generalizable models for predicting clinical outcomes in symptomatic patients. His other research interests include computer-assisted annotation, active learning, and natural language processing. He served as an Associate Editor for IEEE Transactions of Medical Imaging and holds a PhD from University College London, UK. In 2018, he was awarded the MICCAI Young Scientist Publication Impact Award.
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Posts by Holger Roth

Data Science Oct 08, 2025

Training Federated AI Models to Predict Protein Properties

Predicting where proteins are located inside a cell is critical in biology and drug discovery. This process is known as subcellular localization. The location... 5 MIN READ
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Edge Computing Apr 11, 2025

Effortless Federated Learning on Mobile with NVIDIA FLARE and Meta ExecuTorch

NVIDIA and the PyTorch team at Meta announced a groundbreaking collaboration that brings federated learning (FL) capabilities to mobile devices through the... 12 MIN READ
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Data Science Mar 24, 2025

Supercharging the Federated Learning Ecosystem by Integrating Flower and NVIDIA FLARE

In recent years, open-source systems like Flower and NVIDIA FLARE have emerged as pivotal tools in the federated learning (FL) landscape, each with its unique... 9 MIN READ
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Agentic AI / Generative AI Mar 06, 2024

Turning Machine Learning to Federated Learning in Minutes with NVIDIA FLARE 2.4

Federated learning (FL) is experiencing accelerated adoption due to its decentralized, privacy-preserving nature. In sectors such as healthcare and financial... 16 MIN READ
Agentic AI / Generative AI Feb 29, 2024

Scalable Federated Learning with NVIDIA FLARE for Enhanced LLM Performance

In the ever-evolving landscape of large language models (LLMs), effective data management is a key challenge. Data is at the heart of model performance. While... 8 MIN READ
Agentic AI / Generative AI Jul 10, 2023

Adapting LLMs to Downstream Tasks Using Federated Learning on Distributed Datasets

Large language models (LLMs), such as GPT, have emerged as revolutionary tools in natural language processing (NLP) due to their ability to understand and... 7 MIN READ