Call for Papers: The 3rd IEEE Workshop on Distributed AI/ML at the Resource-Constrained Edge @ MILCOM 2025
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Raffaele Galliera
Jul 11, 2025, 2:19:28 AM7/11/25
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Call for Papers: The 3rd IEEE Workshop on Distributed AI/ML at the Resource-Constrained Edge @ MILCOM 2025
TL;DR: DistAI is co-located with IEEE MILCOM 2025, which will take place in Los Angeles, CA, USA, Oct. 6 – Oct. 10, 2025. Submission Deadline: August 12th. Submission link: https://edas.info/N33978 .
Webpage: https://sites.google.com/uic.edu/distributedaiml2025/home
This workshop focuses on the AI/ML mechanisms over edge networks by exploiting techniques including communication-efficient distributed AI/ML, conditional computation, and decentralized learning. We invite researchers to contribute their novel research results that advance the development of distributed AI/ML at the resource-constrained edge. Topics of interest include, but are not limited to:
- Communication-Efficient Distributed AI/ML.
- Model-Distributed Training and Inference
- Split Learning
- Conditional Computation at the Edge
- Decentralized Learning at the Edge
- Random Walk-Based Learning
- Coded Computation for Distributed AI/ML
- Security and Privacy for Distributed AI/ML
- AI/ML-Based Resource Management at the Edge
- Trustworthy AI for Resource-Constrained Edge
- Dynamic Edge Neural Networks
- Reinforcement Learning for Network Optimization
- Multi-Agent Reinforcement Learning
Important Dates:
Paper Submission: August 12, 2025
Acceptance Notification: September 9, 2025
Camera Ready Submission: September 15, 2025
Paper Submissions: Authors are invited to submit original, unpublished papers not under review elsewhere. Submissions will be subjected to a peer review process. All submissions should be written in English with draft papers up to six (6) printed pages in length, two-column, single-spaced with 10-point font on US Letter paper. Final papers that exceed six (6) pages will be assessed a per-page over-length charge of $150/page, up to a maximum of eight (8) total pages. Please submit your papers via https://edas.info/N33978
Organizers:
Scott Brown, US Army Research Lab
Matt Dwyer, US Army Research Lab
Salim El Rouayheb, Rutgers University
Raffaele Galliera, University of West Florida & IHMC
Erdem Koyuncu, University of Illinois Chicago
Hulya Seferoglu, University of Illinois Chicago
TL;DR: DistAI is co-located with IEEE MILCOM 2025, which will take place in Los Angeles, CA, USA, Oct. 6 – Oct. 10, 2025. Submission Deadline: August 12th. Submission link: https://edas.info/N33978 .
Webpage: https://sites.google.com/uic.edu/distributedaiml2025/home
This workshop focuses on the AI/ML mechanisms over edge networks by exploiting techniques including communication-efficient distributed AI/ML, conditional computation, and decentralized learning. We invite researchers to contribute their novel research results that advance the development of distributed AI/ML at the resource-constrained edge. Topics of interest include, but are not limited to:
- Communication-Efficient Distributed AI/ML.
- Model-Distributed Training and Inference
- Split Learning
- Conditional Computation at the Edge
- Decentralized Learning at the Edge
- Random Walk-Based Learning
- Coded Computation for Distributed AI/ML
- Security and Privacy for Distributed AI/ML
- AI/ML-Based Resource Management at the Edge
- Trustworthy AI for Resource-Constrained Edge
- Dynamic Edge Neural Networks
- Reinforcement Learning for Network Optimization
- Multi-Agent Reinforcement Learning
Important Dates:
Paper Submission: August 12, 2025
Acceptance Notification: September 9, 2025
Camera Ready Submission: September 15, 2025
Paper Submissions: Authors are invited to submit original, unpublished papers not under review elsewhere. Submissions will be subjected to a peer review process. All submissions should be written in English with draft papers up to six (6) printed pages in length, two-column, single-spaced with 10-point font on US Letter paper. Final papers that exceed six (6) pages will be assessed a per-page over-length charge of $150/page, up to a maximum of eight (8) total pages. Please submit your papers via https://edas.info/N33978
Organizers:
Scott Brown, US Army Research Lab
Matt Dwyer, US Army Research Lab
Salim El Rouayheb, Rutgers University
Raffaele Galliera, University of West Florida & IHMC
Erdem Koyuncu, University of Illinois Chicago
Hulya Seferoglu, University of Illinois Chicago
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