Texas Colloquium on
Distributed Learning (TL;DR 2023)
28th-29th September 2023
Rice University
A two-day summit of talks on Distributed Learning
About
The workshop on Future-proof Distributed/Federated Learning will take place from September 28th to September 29th, 2023, in Houston, USA, at Rice University. To attend both days, it is probably best to arrive on the evening of September 27th.
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.
Aim of the symposium
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.
Plenary Speakers
Sponsors
Venue
Ralph S. O'Connor Building for Engineering Science
Organizers
Rice ECE
Administrators
Rice CS
Ken Kennedy Institute
Rice CS
Ken Kennedy Institute
Ken Kennedy Institute