Skip to content
Independent research & intelligence
OPEN VARIABLE

Evidence-First Signal Intelligence

Menu

Research literature / Conference paper

Federated Learning for Semiconductor Digital Twins: A Privacy-Preserving Framework for Collaborative DUV Nanolithography

Haiyang Yun; Hao Chun Liao; Benyamin Davaji; Peter C. Doerschuk; Amit Lal

Published
Publisher
IEEE
Journal / collection
2026 37th Annual SEMI Advanced Semiconductor Manufacturing Conference (ASMC)
Research area
Semiconductors
Source type
Conference paper
DOI
10.1109/asmc69324.2026.11551197

Read the original source ↗

The original publisher provides the full text and its access options.

Cite this source

Haiyang Yun; Hao Chun Liao; Benyamin Davaji; Peter C. Doerschuk; Amit Lal. Federated Learning for Semiconductor Digital Twins: A Privacy-Preserving Framework for Collaborative DUV Nanolithography. 2026 37th Annual SEMI Advanced Semiconductor Manufacturing Conference (ASMC). 2026-05-11. https://doi.org/10.1109/asmc69324.2026.11551197

Download RIS