Publications

NSDI 2026
SpliDT: Partitioned Decision Trees for Scalable Stateful Inference at Line Rate
Murayyiam Parvez, Annus Zulfiqar, Sylee Beltiukov, Shir Landau Feibish, Walter Willinger, Arpit Gupta, Muhammad Shahbaz

Team

• Murayyiam Parvez (Purdue University)
• Annus Zulfiqar (University of Michigan)
• Sylee Beltiukov (University of California, Santa Barbara)
• Shir Landau Feibish (Open University of Israel)
• Walter Willinger (NIKSUN, Inc.)
• Arpit Gupta (University of California, Santa Barbara)
• Muhammad Shahbaz (University of Michigan)

Technical Deepdive

We maintain detailed documentation about SpliDT:

• Getting Started and Usage
• Architecture and Implementation
• Performance Analysis

Contact Us

For research-related queries or collaborations:

• Email: parvezm@purdue.edu, zulfiqaa@umich.edu