[hpc-announce] Call for Papers for ACM SEC 2025 - The Second Workshop on Edge Intelligence -- DEADLINE September 15

Calyam, Prasad calyamp at missouri.edu
Thu Aug 14 00:07:26 CDT 2025


***Apologies if you got multiple copies of this CFP

Call for Papers: The Second Workshop on Edge Intelligence
(in conjunction with ACM SEC 2025, Washington, D.C., USA, [December 3--6, 2025])
https://urldefense.us/v3/__https://acm-ieee-sec.org/2025/interact_EdgeIntelligence.php__;!!G_uCfscf7eWS!av3bL8Y7lCiaiMFGVVh1h9IVYFt55MhG9IhxHsXUAujCQtXTN4XTk_h3jSybxNYIC4jRD_XBFgzYbaLV470s5-24fHE$ 

Edge intelligence is an emerging paradigm that brings AI model training and deployment closer to data sources—whether on devices, embedded systems, or edge computing nodes. By processing data locally, it reduces latency, energy consumption, and bandwidth demands while enhancing privacy and security through minimized data transmission. However, model composition and resource constraints are key challenges with respect to edge intelligence. Yet, edge intelligence is rapidly gaining attention for its transformative potential across IoT, autonomous systems, healthcare, smart cities, and precision agriculture. By enabling real-time analytics, autonomous decision-making, and efficient edge-cloud collaboration, it offers a compelling alternative to centralized cloud-dependent approaches.

This workshop invites contributions that explore the latest advances, challenges, and applications in edge intelligence, pushing the boundaries of what is possible at the network edge.

Topics of interests
We solicit novel research contributions to the broad area of edge intelligence, such as (but not limited to):
Cloud-edge collaborative training and inference
Foundation models at the edge
Gen AI for edge computing and edge computing for Gen AI
LLM-driven edge network/compute policy management/optimization
Federated learning via edge systems
Edge-assisted artificial intelligence
Efficient (deep) learning on edge devices
Efficient (distributed) inference on end devices
Lightweight container orchestration for domain-specific AI
Applications of edge AI in extended reality (XR), cyber-physical systems (CPS), automation, healthcare, etc.

Key Dates & Submission Instructions
• Submission Deadline:   September 15, 2025
• Notification: October 15, 2025
• Camera-ready paper deadline: November 1, 2025
• Workshop date: December 6, 2025

Only electronic submissions in PDF will be accepted. Submitted papers must be written in English and must be rendered without error using standard PDF viewing tools. Submitted papers must be no longer than 6 single-spaced 8.5'' x 11''; pages, including figures and tables, but excluding references, and using 10-point type on 12-point (single-spaced) leading, two-column format, Times Roman, or a similar font, within a text block 7.14'' wide x 9.22'' deep. IEEE Standard template for Latex and Word meet these specifications and can be found at: https://urldefense.us/v3/__https://www.ieee.org/conferences/publishing/templates.html__;!!G_uCfscf7eWS!av3bL8Y7lCiaiMFGVVh1h9IVYFt55MhG9IhxHsXUAujCQtXTN4XTk_h3jSybxNYIC4jRD_XBFgzYbaLV470ssHtZldI$ . Papers not meeting these criteria will be rejected without review, and no deadline extensions will be granted for reformatting. Pages should be numbered, and figures and tables should be legible in black and white, without requiring magnification.

At least one author for each accepted paper for the Edge Intelligence Workshop 2025 must register for the workshop.

Submission website: https://urldefense.us/v3/__https://sec25-ei.hotcrp.com/__;!!G_uCfscf7eWS!av3bL8Y7lCiaiMFGVVh1h9IVYFt55MhG9IhxHsXUAujCQtXTN4XTk_h3jSybxNYIC4jRD_XBFgzYbaLV470shqVdbmE$ 

Organization
TPC Chairs
- Jaya Prakash Champati, University of Victoria
- Prasad Calyam, University of Missouri-Columbia
- Xiaoli Liu, University of Helsinki

Organizing Chair
- James Gross, KTH Stockholm


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