most citedEmpowering Federated Learning for Massive Models with NVIDIA FLARE

2 citations · 3 across the 3 of their papers we have counts for

collaborators

3 papers

cs.CR2025

Secure Federated XGBoost with CUDA-accelerated Homomorphic Encryption via NVIDIA FLARE

Ziyue Xu, Yuan-Ting Hsieh, Zhihong Zhang +4

Federated learning (FL) enables collaborative model training across decentralized datasets. NVIDIA FLARE's Federated XGBoost extends the popular XGBoost algorithm to both vertical…

cs.DC2024★ 1 cited

Supercharging Federated Learning with Flower and NVIDIA FLARE

Holger R. Roth, Daniel J. Beutel, Yan Cheng +13

Several open-source systems, such as Flower and NVIDIA FLARE, have been developed in recent years while focusing on different aspects of federated learning (FL). Flower is dedicate…

cs.LG2024★ 2 cited

Empowering Federated Learning for Massive Models with NVIDIA FLARE

Holger R. Roth, Ziyue Xu, Yuan-Ting Hsieh +12

In the ever-evolving landscape of artificial intelligence (AI) and large language models (LLMs), handling and leveraging data effectively has become a critical challenge. Most stat…