Call for Papers

We are happy to announce that we will select one best paper award with a 500 USD cash prize, and two runner-up awards with 200 USD cash prize!

We invite submissions that have at most 10 pages with unlimited bibliography and appendix.

Topics include but are not limited to:

• Trustworthy ML systems via decentralization
• Privacy-preserving distributed ML systems
• Decentralized AI systems for real-world deployment
• Decentralized Data management in AI systems
• Distributed Consensus & Fault Tolerance Algorithms
• Resilient Federated Learning Systems
• Decentralized Finance (DeFi) and Decentralized Autonomous Organization (DAO)
• Decentralized FL frameworks & benchmarks
• Decentralized Data Science
• Decentralized training and inference for foundation models

Reviewing will be performed in double-blind, with criteria include:

• Quality of the methodology and experiments
• Novelty
• Relevance
• Societal impacts

Important Dates

Submissions Open	Aug 01, 2022 11:59PM AoE
Submission Deadline	Oct 01, 2022 11:59PM AoE
Author Notification	Oct 24, 2022 11:59PM AoE
Camera Ready and Video Submission	Nov 03, 2022 11:59PM AoE
Workshop Dates	Dec 03, 2022

Author Instructions

Papers should be submitted to cmt3: https://cmt3.research.microsoft.com/DMLW2022

Submission Format

Submitted papers are recommended to have at most 10 pages with unlimited bibliography and appendix, using MLWEB3 2022 LaTex style files:

• MLWEB3_2022.tex - LaTeX template
• MLWEB3_2022.sty - style file for LaTeX 2e
• MLWEB3_2022.pdf - example PDF output generated by running "pdflatex"

The 10-page limit is not hard, but keeping your paper reasonably short and concise can greatly improve readability. Submissions must be anonymous following NeurIPS double-blind reviewing guidelines and NeurIPS Code of Conduct. Accepted papers will be hosted on this workshop website but are considered non-archival and can be submitted to other workshops, conferences or journals if their submission policy allows.

Dual submission policy

We allow dual submission with other workshops or conferences. You can also submit papers that have some overlaps with your recently published papers. However, we disallow papers that are presented at the NeurIPS main conference as well as other machine learning conferences.