Call for Papers

Important Dates

• Paper submission deadline:
• November 17, 2024, December 1, 2024, 23:59:59 EST
• Paper notification: January 8, 2025
• Camera-ready submission deadline: February 2, 2025

Call for Papers

The PeRConAI workshop aims at fostering the development and circulation of new ideas and research directions on pervasive and resource-constrained machine learning bringing together practitioners and researchers working on the intersection between pervasive computing and machine learning, stimulating the cross-fertilization between the two communities. The PeRConAI workshop solicits contributions on, but not limited to, the following topics:

Foundations of Advanced Machine learning algorithms and methods for pervasive systems subject to resource limitations addressing the following open challenges:

• Distributed/decentralized and efficient Machine Learning for resource-constrained devices (e.g., resource-efficient federated learning); Lightweight and compressed ML models for on-device training/inference in pervasive computing (e.g., GRU, ELM, MHN, etc.);
• Sustainable AI through novel brain- and bio-inspired ML algorithms exploiting energy-efficient hardware (e.g., FPGA, Neuromorphic HW);
• Privacy-preserving distributed/decentralized learning in pervasive and resource-constrained scenarios; Trustworthiness of distributed/decentralized learning systems in pervasive and resource-constrained scenarios; Semi-supervised and self-supervised learning systems in pervasive and resource-constrained scenarios;
• Learning with imbalanced data in pervasive and resource-constrained scenarios; Continual learning in pervasive and resource-constrained scenarios.
• Over-the-air computing for distributed/decentralized learning systems in pervasive and resource-constrained scenarios;

Applications of Advanced Machine learning algorithms, methods and approaches for pervasive computing under resource-limitations applied to the following application domains:

• Health and well-being applications (e.g. activity recognition, health monitoring).
• Anomaly/Novelty detection (e.g. Industry 4.0, intrusion detection, privacy, and security). Audio signal processing (e.g., sound event detection, speech recognition/processing).
• Video streams processing on resource-constrained devices.
• Natural Language Processing and Information Retrieval (e.g. conversational applications running on resource-constrained, mobile, or edge devices).
• Intersection between mobile computing with ML/DL on resource-constrained devices.
• Any other real-world applications and case studies where the pervasiveness of resource-constrained devices is central for knowledge extraction.

Submissions Guidelines

All papers must be:

• at most 6 pages of technical content,
• typeset in double-column IEEE format using 10pt fonts on US letter paper,
• with all fonts embedded.

As for the main conference, in PeRConAI the peer-review process will be double-blind. Therefore, the paper must not contain names, affiliations or any other reference to the authors.
Submissions must be made via EasyChair. The IEEE LaTeX and Microsoft Word templates, as well as related information, can be found on the IEEE Computer Society website.

PeRConAI will be held in conjunction with IEEE PerCom 2025. All accepted papers will be included in the Percom workshops proceedings and included and indexed in the IEEEXplore digital library. At least one author will be required to have a full registration at the PerCom 2024 conference and present the paper during the workshop (either remotely or in location).

Organising Committee

• Prof. Plamen Angelov, Lancaster University, UK
• Dr. Mario Luca Bernardi, University of Sannio, IT
• Dr. Paolo Dini CTTC/CERCA, ES
• Dr. Franco Maria Nardini, ISTI-CNR, IT
• Prof. Riccardo Pecori, eCampus University, IT; IMEM-CNR, IT
• Dr. Lorenzo Valerio, IIT-CNR, IT