FLUID-AI - Immersive intelligence transfer

The project aims to enhance and evaluate deep neural network compression techniques by developing adaptive, layer-specific folding strategies that optimize performance under resource constraints.
Staff member
Project Manager at the Organizational Unit
Olga Saukh
bak. Assoc.Prof. Dr.rer.nat. MSc
Funding sources
  • Pro2Future GmbH
  • Österreichische Forschungsförderungsgesellschaft mbH (FFG) , FFG
Research areas
Start: 31.03.2025

Publications

2025
Dong Wang, Haris Šikić, Lothar Thiele and Olga Saukh Model Folding A Unified Approach to Post-training Compression and Efficient Pre-training Show publication in PURE
Olga Saukh, Dong Wang, Haris Šikić, Yun Cheng and Lothar Thiele Cut Less, Fold More: Model Compression through the Lens of Projection Geometry Show publication in PURE
Overview
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