Confidential Computing and AI in Networking Fabrics

Daniel Lawo; Idelfonso Tafur Monroy; J.J. Vegas Olmos

doi:10.1109/ICTON67126.2025.11125026

Confidential Computing and AI in Networking Fabrics

Daniel Lawo
, Idelfonso Tafur Monroy
, J.J. Vegas Olmos

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

23 Downloads (Pure)

Abstract

As AI models grow larger, the demands on the networking infrastructure of data centers increase significantly, especially while training AI models. At the same time, the data used for training these models is becoming increasingly sensitive. This creates an urgent need for secure, confidential training environments in data centers, without compromising performance. Our work focuses on developing innovative approaches for confidential AI training that ensure privacy while maintaining the high performance required for the next generation of AI algorithms.

Original language	English
Title of host publication	2025 25th Anniversary International Conference on Transparent Optical Networks, ICTON 2025
Editors	Crina Cojocaru, Salvatore Spadaro, Marian Marciniak
Publisher	Institute of Electrical and Electronics Engineers
Number of pages	4
ISBN (Electronic)	979-8-3315-9777-1
DOIs	https://doi.org/10.1109/ICTON67126.2025.11125026
Publication status	Published - 25 Aug 2025
Event	2025 25th Anniversary International Conference on Transparent Optical Networks (ICTON) - Barcelona, Spain Duration: 6 Jul 2025 → 10 Jul 2025

Conference

Conference	2025 25th Anniversary International Conference on Transparent Optical Networks (ICTON)
Country/Territory	Spain
City	Barcelona
Period	6/07/25 → 10/07/25

Funding

This work was partly funded by the Chips Joint Undertaking (JU), European Union (EU) HORIZON-JU-IA, under grant agreement No. 101140087 (SMARTY), QUARC (101073355) and CLEVER (101097560) projects.

Keywords

AI training
data center
hardware offloading
cryptography
cloud computing
confidential computing

Access to Document

10.1109/ICTON67126.2025.11125026

pdfFinal published version, 539 KBLicence: TAVERNE

Cite this

@inproceedings{faadde6560ff4e448794a2984d644b6d,

title = "Confidential Computing and AI in Networking Fabrics",

abstract = "As AI models grow larger, the demands on the networking infrastructure of data centers increase significantly, especially while training AI models. At the same time, the data used for training these models is becoming increasingly sensitive. This creates an urgent need for secure, confidential training environments in data centers, without compromising performance. Our work focuses on developing innovative approaches for confidential AI training that ensure privacy while maintaining the high performance required for the next generation of AI algorithms.",

keywords = "AI training, data center, hardware offloading, cryptography, cloud computing, confidential computing",

author = "Daniel Lawo and \{Tafur Monroy\}, Idelfonso and \{Vegas Olmos\}, J.J.",

year = "2025",

month = aug,

day = "25",

doi = "10.1109/ICTON67126.2025.11125026",

language = "English",

editor = "Crina Cojocaru and Salvatore Spadaro and Marian Marciniak",

booktitle = "2025 25th Anniversary International Conference on Transparent Optical Networks, ICTON 2025",

publisher = "Institute of Electrical and Electronics Engineers",

address = "United States",

note = "2025 25th Anniversary International Conference on Transparent Optical Networks (ICTON) ; Conference date: 06-07-2025 Through 10-07-2025",

}

Lawo, D, Tafur Monroy, I & Vegas Olmos, JJ 2025, Confidential Computing and AI in Networking Fabrics. in C Cojocaru, S Spadaro & M Marciniak (eds), 2025 25th Anniversary International Conference on Transparent Optical Networks, ICTON 2025. Institute of Electrical and Electronics Engineers, 2025 25th Anniversary International Conference on Transparent Optical Networks (ICTON), Barcelona, Spain, 6/07/25. https://doi.org/10.1109/ICTON67126.2025.11125026

Confidential Computing and AI in Networking Fabrics. / Lawo, Daniel; Tafur Monroy, Idelfonso; Vegas Olmos, J.J.
2025 25th Anniversary International Conference on Transparent Optical Networks, ICTON 2025. ed. / Crina Cojocaru; Salvatore Spadaro; Marian Marciniak. Institute of Electrical and Electronics Engineers, 2025.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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Y1 - 2025/8/25

N2 - As AI models grow larger, the demands on the networking infrastructure of data centers increase significantly, especially while training AI models. At the same time, the data used for training these models is becoming increasingly sensitive. This creates an urgent need for secure, confidential training environments in data centers, without compromising performance. Our work focuses on developing innovative approaches for confidential AI training that ensure privacy while maintaining the high performance required for the next generation of AI algorithms.

AB - As AI models grow larger, the demands on the networking infrastructure of data centers increase significantly, especially while training AI models. At the same time, the data used for training these models is becoming increasingly sensitive. This creates an urgent need for secure, confidential training environments in data centers, without compromising performance. Our work focuses on developing innovative approaches for confidential AI training that ensure privacy while maintaining the high performance required for the next generation of AI algorithms.

KW - AI training

KW - data center

KW - hardware offloading

KW - cryptography

KW - cloud computing

KW - confidential computing

UR - https://www.scopus.com/pages/publications/105016109976

U2 - 10.1109/ICTON67126.2025.11125026

DO - 10.1109/ICTON67126.2025.11125026

M3 - Conference contribution

BT - 2025 25th Anniversary International Conference on Transparent Optical Networks, ICTON 2025

A2 - Cojocaru, Crina

A2 - Spadaro, Salvatore

A2 - Marciniak, Marian

PB - Institute of Electrical and Electronics Engineers

T2 - 2025 25th Anniversary International Conference on Transparent Optical Networks (ICTON)

Y2 - 6 July 2025 through 10 July 2025

ER -

Confidential Computing and AI in Networking Fabrics

Abstract

Conference

Funding

Keywords

Access to Document

Other files and links

Fingerprint

SMARTY: Scalable and Quantum Resilient Heterogeneous Edge Computing enabling Trustworthy AI

QUARC: Quantum resistant communications: Advance Learning in applied PQC Training

Cite this

Confidential Computing and AI in Networking Fabrics

Abstract

Conference

Funding

Keywords

Access to Document

Other files and links

Fingerprint

Projects

SMARTY: Scalable and Quantum Resilient Heterogeneous Edge Computing enabling Trustworthy AI

QUARC: Quantum resistant communications: Advance Learning in applied PQC Training

Cite this