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1st Workshop on Reimagining Distributed Computing for LLMs (DistLLM)
In conjunction with the 27th International Conference on Distributed Computing & Networking (ICDCN 2026)
Jan 6, 2026 - Jan 9, 2026
Nara, Japan
The 1st Workshop on Reimagining Distributed Computing for LLMs (DistLLM) focuses on addressing the critical challenges in scalable, efficient, and reliable distributed training, fine-tuning, and inference of large language models (LLMs) and deep neural networks (DNNs). It brings together experts from distributed systems, networking, and AI to explore topics such as multi-dimensional parallelism, communication protocols, distributed scheduling, fault tolerance, network-aware system design, multi-cluster training, and specialized LLM deployment for edge computing. The workshop aims to advance solutions for the infrastructure demands of modern AI models while leveraging LLMs to optimize distributed computing itself.
Workshop Co-Chairs:
Dr. Sidharth Sharma (Indian Institute of Technology, Jodhpur) <sidharth AT iitj DOT ac DOT in>
Dr. Subhrangsu Mandal (Indian Institute of Technology, Dhanbad) <subhrangsu AT iitism DOT ac DOT in>
Dr. Arnab K. Paul (BITS Pilani, K K Birla Goa Campus, India) <arnabp AT goa DOT bits-pilani DOT ac DOT in>
Important Dates: (All Dates are Anywhere on Earth)
Submission deadline: September 15th, 2025
Notification to authors: October 25th, 2025
Camera-ready paper due: November 15th, 2025
Workshop date: January 6-9, 2026 (Nara, Japan) [Exact date to be announced]
Submission Link: https://easychair.org/conferences?conf=icdcn2026
Select WS2: 1st Workshop on Reimagining Distributed Computing for LLMs for submissions.
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