Recent breakthroughs in Generative AI have sparked a new era of innovation. Generative AI models such as Large Language Models (LLMs) and Multimodal Large Language Models (MLLMs) are capable of creating high-quality content in diverse modalities including text, images, videos, and many more, and handle complex tasks with human-level performance that were previously out of reach. Such capabilities bring enormous opportunities to a wide range of areas including edge computing.
IEEE Internet Computing magazine invites researchers and industry experts to contribute to our forthcoming special issue on Generative AI for Edge Computing. The objective of this special issue is to enable researchers and practitioners to share novel and high-quality contributions related to all aspects of generative AI for edge computing. The special issue welcomes contributions from systems, AI, and network research, as well as benchmarks, development tools, and deployment of generative AI to applications where edge computing plays a critical role.
Topics of interest include, but are not limited to:
For author information and guidelines on submission criteria, visit the Author’s Information page. Please submit papers through the IEEE Author Portal and be sure to select the special issue or special section name. Manuscripts should not be published or currently submitted for publication elsewhere. Please submit only full papers intended for review, not abstracts. If requested, abstracts should be sent by email to the guest editors directly.
Contact the guest editors at mizhang.1@osu.edu, xia.hu@rice.edu.
Mi Zhang, Lead Guest Editor (Lead Guest Editor), The Ohio State University
Xia (Ben) Hu, Rice University
