Cover Image

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

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Xu, Ziyue, Hsieh, Yuan-Ting, Zhang, Zhihong, Roth, Holger R., Chen, Chester, Cheng, Yan, Feng, Andrew
Format:	Preprint
Published:	2025
Subjects:	Cryptography and Security Distributed, Parallel, and Cluster Computing Emerging Technologies
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

MQFL-FHE: Multimodal Quantum Federated Learning Framework with Fully Homomorphic Encryption
by: Dutta, Siddhant, et al.
Published: (2024)

Empowering Federated Learning for Massive Models with NVIDIA FLARE
by: Roth, Holger R., et al.
Published: (2024)

Supercharging Federated Learning with Flower and NVIDIA FLARE
by: Roth, Holger R., et al.
Published: (2024)

SecureVAX: A Blockchain-Enabled Secure Vaccine Passport System
by: Das, Debendranath, et al.
Published: (2024)

Collaborative Proof-of-Work: A Secure Dynamic Approach to Fair and Efficient Blockchain Mining
by: Haque, Rizwanul, et al.
Published: (2024)

A Survey on Federated Analytics: Taxonomy, Enabling Techniques, Applications and Open Issues
by: Wang, Zibo, et al.
Published: (2024)

Privacy-Preserving Data Processing in Cloud : From Homomorphic Encryption to Federated Analytics
by: Sarraf, Gaurav, et al.
Published: (2026)

HERL: Tiered Federated Learning with Adaptive Homomorphic Encryption using Reinforcement Learning
by: Tang, Jiaxang, et al.
Published: (2024)

SHE-LoRA: Selective Homomorphic Encryption for Federated Tuning with Heterogeneous LoRA
by: Liu, Jianmin, et al.
Published: (2025)

QuanCrypt-FL: Quantized Homomorphic Encryption with Pruning for Secure Federated Learning
by: Mia, Md Jueal, et al.
Published: (2024)

Lancelot: Towards Efficient and Privacy-Preserving Byzantine-Robust Federated Learning within Fully Homomorphic Encryption
by: Jiang, Siyang, et al.
Published: (2024)

Homomorphic Encryption in Healthcare Industry Applications for Protecting Data Privacy
by: Rauthan, J. S.
Published: (2025)

HHEML: Hybrid Homomorphic Encryption for Privacy-Preserving Machine Learning on Edge
by: Chan, Yu Hin, et al.
Published: (2025)

Tokenization of Real Estate Assets Using Blockchain
by: Joshi, Shashank, et al.
Published: (2024)

A Tree-Based Repository Blockchain Framework for Shared Governance in Collaborative Fork Ecosystems
by: Tanvir, Razwan Ahmed, et al.
Published: (2026)

An Edge-Computing based Industrial Gateway for Industry 4.0 using ARM TrustZone Technology
by: Gupta, Sandeep
Published: (2024)

A First Look at Ethereum Blob Revolution: Market, Strategies, and Optimality
by: Huang, Yue, et al.
Published: (2024)

A Proof of Success and Reward Distribution Protocol for Multi-bridge Architecture in Cross-chain Communication
by: Oyinloye, Damilare Peter, et al.
Published: (2025)

SSI4IoT: Unlocking the Potential of IoT Tailored Self-Sovereign Identity
by: Dayaratne, Thusitha, et al.
Published: (2024)

The Future of Fully Homomorphic Encryption System: from a Storage I/O Perspective
by: Chen, Lei, et al.
Published: (2025)

BoostCom: Towards Efficient Universal Fully Homomorphic Encryption by Boosting the Word-wise Comparisons
by: Yudha, Ardhi Wiratama Baskara, et al.
Published: (2024)

Optimizing Spot Instance Reliability and Security Using Cloud-Native Data and Tools
by: Saqib, Muhammad, et al.
Published: (2025)

AutoDFL: A Scalable and Automated Reputation-Aware Decentralized Federated Learning
by: Dif, Meryem Malak, et al.
Published: (2025)

VerifBFL: Leveraging zk-SNARKs for A Verifiable Blockchained Federated Learning
by: Bellachia, Ahmed Ayoub, et al.
Published: (2025)

Empirical Analysis of Privacy-Fairness-Accuracy Trade-offs in Federated Learning: A Step Towards Responsible AI
by: Wasif, Dawood, et al.
Published: (2025)

Security and Privacy of 6G Federated Learning-enabled Dynamic Spectrum Sharing
by: Vo, Viet, et al.
Published: (2024)

SenseCrypt: Sensitivity-guided Selective Homomorphic Encryption for Joint Federated Learning in Cross-Device Scenarios
by: Li, Borui, et al.
Published: (2025)

Private and Secure Post-Quantum Verifiable Random Function with NIZK Proof and Ring-LWE Encryption in Blockchain
by: Kim, Bong Gon, et al.
Published: (2023)

Self-Sovereign Identity and eIDAS 2.0: An Analysis of Control, Privacy, and Legal Implications
by: Sitouah, Nacereddine, et al.
Published: (2026)

COD-ssi: Enforcing Mutual Privacy for Credential Oblivious Disclosure in Self Sovereign Identity
by: Onofri, Elia, et al.
Published: (2026)

HadAgent: Harness-Aware Decentralized Agentic AI Serving with Proof-of-Inference Blockchain Consensus
by: Jimenez, Landy, et al.
Published: (2026)

Evaluating the Potential of In-Memory Processing to Accelerate Homomorphic Encryption
by: Mwaisela, Mpoki, et al.
Published: (2024)

SMTFL: Secure Model Training to Untrusted Participants in Federated Learning
by: Zhao, Zhihui, et al.
Published: (2025)

Fantastyc: Blockchain-based Federated Learning Made Secure and Practical
by: Boitier, William, et al.
Published: (2024)

MetaFed: Advancing Privacy, Performance, and Sustainability in Federated Metaverse Systems
by: Yagiz, Muhammet Anil, et al.
Published: (2025)

Optimizing Federated Learning in the Era of LLMs: Message Quantization and Streaming
by: Xu, Ziyue, et al.
Published: (2025)

SVAFD: A Secure and Verifiable Co-Aggregation Protocol for Federated Distillation
by: Wen, Tian, et al.
Published: (2025)

Zero-Knowledge Proof-Based Consensus for Blockchain-Secured Federated Learning
by: Fu, Tianxing, et al.
Published: (2025)

CIPHERMATCH: Accelerating Homomorphic Encryption-Based String Matching via Memory-Efficient Data Packing and In-Flash Processing
by: Kabra, Mayank, et al.
Published: (2025)

Quantum-Inspired Privacy-Preserving Federated Learning Framework for Secure Dementia Classification
by: Tanbhir, Gazi, et al.
Published: (2025)