Texas Colloquium on Distributed Learning (TL;DR 2025)

The workshop on Future-proof Distributed/Federated Learning will take place May 1-2, 2025 in Houston, TX at Rice University.

Dates: May 1-2, 2025

Location: O'Connor Building for Engineering and Science at Rice University | 6100 Main St, Houston, TX 77005

Summary: The purpose of this workshop is to gather leading researchers on Federated Learning, Distributed Computing and Large-Scale ML at Rice University; the workshop will discuss and focus on efficient distributed learning algorithms on how to train such large models using less costly/specialized computing platforms. Topics of interest include, but are not limited to, Systems and infrastructure, Fairness, Hardware for on-device distributed learning, Privacy concerns, Optimization advances, Theoretical contributions, and Applications of distributed learning.

We expect around 100 participants, both domestic and international researchers in the field of theory of distributed computing, applications of distributed computing, federated learning, large-scale model training and responsible distributed computing. This workshop has received funding from Rice University as part of the Conference and Workshop Development Fund, and the Rice Engineering Innovation Conference and Workshop Fund. The Ken Kennedy Institute generously provided great assistance organizing this workshop.

Website: View the workshop schedule, speaker lineup, venue and sponsorship details, and opportunities to participate through abstract or poster submissions at https://sites.google.com/view/tldr-2025/home.

Cost: The $50 registration fee covers breakfast, lunch, and refreshments on both days.

Refund Policy: A full refund is available up to one week out from the workshop. Refunds will not be processed within 7 days from the event start date.

Host or Publisher The Ken Kennedy Institute