International Conference on Distributed Machine Learning at Scale

Important dates

1. 24 Dec

   Abstract / full paper deadline

   In 39 days

2. 20 Jan

   Conference

   Stuttgart, Germany

All deadlines are as published by the organizer. Check the official website for the time zone.

About this conference

This event focuses on the evolving landscape of distributed machine learning where efficiency and scalability become paramount. It invites contributions from researchers addressing various theoretical frameworks, algorithms, and architectures for effective implementation. Participants can submit full research papers or concise posters, contributing to discussions surrounding practical applications and experimental outcomes. With workshops and panel discussions, the conference fosters an interactive environment conducive to sharing experiences and insights. Organized by thought leaders in the domain, the gathering aims to bridge the gap between research and application, offering content relevant to both established experts and emerging professionals in distributed machine learning. Networking opportunities promise to be valuable, with sessions designed to encourage collaboration. Registration specifics and submission guidelines will soon be available to ensure wide participation.

Call for papers

Abstracts are due by 24 December 2026. Submission details are on the official website.