in conjunction with IEEE QSW Conference, IEEE Cloud, IEEE Edge, part of
IEEE SERVICES 2025

July 7-12 2025, Helsinki, Finland

https://services.conferences.computer.org/2025/fastcontinuum-2025/

INTRODUCTION

==============

As industries increasingly adopt distributed intelligence, new
challenges emerge in managing heterogeneous resources, ensuring
performance guarantees, and securing end-to-end application execution.
The computing continuum —a seamless integration of cloud, edge, IoT and,
in the very near future, quantum computers— aims at addressing these
challenges and has revolutionized the way we design, deploy, and
optimize modern applications.
********Fast Continuum 2025 Workshop Call for Papers********

in conjunction with IEEE QSW Conference, IEEE Cloud, IEEE Edge, part of
IEEE SERVICES 2025

July 7-12 2025, Helsinki, Finland

https://services.conferences.computer.org/2025/fastcontinuum-2025/

INTRODUCTION

==============

As industries increasingly adopt distributed intelligence, new
challenges emerge in managing heterogeneous resources, ensuring
performance guarantees, and securing end-to-end application execution.
The computing continuum —a seamless integration of cloud, edge, IoT and,
in the very near future, quantum computers— aims at addressing these
challenges and has revolutionized the way we design, deploy, and
optimize modern applications.

The FastContinuum workshop invites researchers, industry experts, and
practitioners to contribute innovative solutions, share experiences, and
engage in discussions on the future of computing beyond conventional
cloud models. This workshop serves as a way for exploring emerging
trends, methodologies, and frameworks that facilitate intelligent,
adaptive, and high-performance computing across the continuum.

TOPICS OF INTEREST

==================

* Computing Continuum Foundations

* Design principles and architecture of continuum systems

* Application scheduling and orchestration strategies

* Energy-efficient continuum computing

* Quantum computing and HPC as computing continuum components

* Performance & Optimization

* Modeling, evaluation, and performance optimization

* AI-driven optimizations

* Large Language Models requirements for the computing continuum

* Artificial Intelligence & Emerging Technologies

* Generative AI for designing and managing continuum software

* Machine Learning and AI applications in the continuum

* Augmented Reality and immersive computing

* Software & Infrastructure Innovations

* Microservices, Function as a Service (FaaS), and serverless computing

* Cyber-physical systems, IoT, digital twins, and industrial internet

* Data-intensive and real-time stream processing systems

* Security, Automation, & Resilience

* Infrastructure as Code and automation in the continuum

* DevSecOps for distributed applications

* Autonomous, resilient, and adaptive systems

IMPORTANT DATES

================

Workshop paper submissions: April 26, 2025

Notification of acceptance: May 16, 2025

Camera-ready copies and registration: May 30, 2025

Workshop date: TBD

SUBMISSION GUIDELINES

======================

Authors are invited to submit original, unpublished papers that are not
being considered in another forum. We solicit full papers (max. 6 pages)
as well as short and demo papers (max. 4 pages). Short papers can
include reports about research activities not mature enough for a full
paper as well as new ideas and vision papers. All submissions must
conform to the standard IEEE template for conference proceedings:
https://www.ieee.org/conferences/publishing/templates.html. More
specifically, the double-column formats have to be used for all paper
submissions. Each paper submission will be reviewed by at least three
members of the program committee. Papers can be submitted via EasyChair:
https://easychair.org/my/conference?conf=2025ieeeservices,
“[FastContinuum] Workshop on Fast Continuum” track.

Papers will be published in the IEEE Services 2025 Companion Proceedings
volume (To be confirmed).

At least one author of each accepted paper is required to attend the
workshop and present the paper.

WORKSHOP GENERAL CHAIRS

==========================

Danilo Ardagna, Elisabetta Di Nitto (Politecnico di Milano, Italy)

WORKSHOP PROGRAM COMMITTEE CHAIRS

=======================================

Juncal Alonso Ibarra (Tecnalia, Spain), Federica Filippini (University
of Milano-Bicocca, Italy)

PUBLICITY CHAIR

================

Marco Garlini (Politecnico di Milano, Italy)

PC COMMITTEE

==============

* Vasilios Andrikopoulos, University of Groningen, The Netherlands

* Matija Cankar, COMSENSUS/JSI, Slovenia

* Marco Casiero, Microsoft, Italy

* Michele Chiari, Technischen Universität Wien, Austria

* Jean-Christophe Deprez, Centre d'Excellence en Technologies de
l'Information et de la Communication (CETIC), Belgium

* Karim Djemame, University of Leeds, UK

* Maria Fazio, University of Messina, Italy

* Francesc Lordan, Barcelona Supercomputing Center (BSC-CNS), Spain

* Fabrizio Magugliani, E4 Computer Engineering, Italy

* Dana Petcu, University of West Timisoara, Romania

* Alessandro Raganato, University of Milano-Bicocca, Italy

* Domenico Siracusa, University of Trento, Italy

* Jacopo Soldani, University of Pisa, Italy,

* Ettore Trevisiol, AWS, Italy

* Alessandro Tundo, Technische Universität Wien, Austria

* Indika Kumara, JADS, The Netherlands

* Alireza Furutanpey, Technischen Universität Wien, Austria (quantum)

* Radosław Piliszek, 7Bulls, Poland

* Josu Diaz de Arcaya, Tecnalia

The FastContinuum workshop invites researchers, industry experts, and
practitioners to contribute innovative solutions, share experiences, and
engage in discussions on the future of computing beyond conventional
cloud models. This workshop serves as a way for exploring emerging
trends, methodologies, and frameworks that facilitate intelligent,
adaptive, and high-performance computing across the continuum.

TOPICS OF INTEREST

==================

* Computing Continuum Foundations

* Design principles and architecture of continuum systems

* Application scheduling and orchestration strategies

* Energy-efficient continuum computing

* Quantum computing and HPC as computing continuum components

* Performance & Optimization

* Modeling, evaluation, and performance optimization

* AI-driven optimizations

* Large Language Models requirements for the computing continuum

* Artificial Intelligence & Emerging Technologies

* Generative AI for designing and managing continuum software

* Machine Learning and AI applications in the continuum

* Augmented Reality and immersive computing

* Software & Infrastructure Innovations

* Microservices, Function as a Service (FaaS), and serverless computing

* Cyber-physical systems, IoT, digital twins, and industrial internet

* Data-intensive and real-time stream processing systems

* Security, Automation, & Resilience

* Infrastructure as Code and automation in the continuum

* DevSecOps for distributed applications

* Autonomous, resilient, and adaptive systems

IMPORTANT DATES

================

Workshop paper submissions: April 7, 2025

Notification of acceptance: May 16, 2025

Camera-ready copies and registration: May 30, 2025

Workshop date: TBD

SUBMISSION GUIDELINES

======================

Authors are invited to submit original, unpublished papers that are not
being considered in another forum. We solicit full papers (max. 6 pages)
as well as short and demo papers (max. 4 pages). Short papers can
include reports about research activities not mature enough for a full
paper as well as new ideas and vision papers. All submissions must
conform to the standard IEEE template for conference proceedings:
https://www.ieee.org/conferences/publishing/templates.html. More
specifically, the double-column formats have to be used for all paper
submissions. Each paper submission will be reviewed by at least three
members of the program committee. Papers can be submitted via EasyChair:
https://easychair.org/my/conference?conf=2025ieeeservices,
“[FastContinuum] Workshop on Fast Continuum” track.

Papers will be published in the IEEE Services 2025 Companion Proceedings
volume (To be confirmed).

At least one author of each accepted paper is required to attend the
workshop and present the paper.

WORKSHOP GENERAL CHAIRS

==========================

Danilo Ardagna, Elisabetta Di Nitto (Politecnico di Milano, Italy)

WORKSHOP PROGRAM COMMITTEE CHAIRS

=======================================

Juncal Alonso Ibarra (Tecnalia, Spain), Federica Filippini (University
of Milano-Bicocca, Italy)

PUBLICITY CHAIR

================

Marco Garlini (Politecnico di Milano, Italy)

PC COMMITTEE

==============

* Vasilios Andrikopoulos, University of Groningen, The Netherlands

* Matija Cankar, COMSENSUS/JSI, Slovenia

* Marco Casiero, Microsoft, Italy

* Michele Chiari, Technischen Universität Wien, Austria

* Jean-Christophe Deprez, Centre d'Excellence en Technologies de
l'Information et de la Communication (CETIC), Belgium

* Karim Djemame, University of Leeds, UK

* Maria Fazio, University of Messina, Italy

* Francesc Lordan, Barcelona Supercomputing Center (BSC-CNS), Spain

* Fabrizio Magugliani, E4 Computer Engineering, Italy

* Dana Petcu, University of West Timisoara, Romania

* Alessandro Raganato, University of Milano-Bicocca, Italy

* Domenico Siracusa, University of Trento, Italy

* Jacopo Soldani, University of Pisa, Italy,

* Ettore Trevisiol, AWS, Italy

* Alessandro Tundo, Technische Universität Wien, Austria

* Indika Kumara, JADS, The Netherlands

* Alireza Furutanpey, Technischen Universität Wien, Austria (quantum)

* Radosław Piliszek, 7Bulls, Poland

* Josu Diaz de Arcaya, Tecnalia

 From bench to the wild: Recent Advances in Computer Vision methods
(WILD-VISION)
Pattern Recognition
Website:
https://www.sciencedirect.com/journal/pattern-recognition/about/call-for-papers#from-bench-to-the-wild-recent-advances-in-computer-vision-methods-wild-vision

Submission Portal Open: October 27, 2024
Extended Submission Deadline: April 30, 2025

========================

=== Call for papers ===

The rapid advancement of visual pattern recognition systems has led to
their transition from laboratory settings to real-world applications,
where they face the challenges of distribution shifts and adversarial
samples. This special issue focuses on innovative methodologies that
enhance the robustness and generalization capabilities of visual
classifiers on unknown data in diverse, uncontrolled environments,
addressing key issues such as dataset imbalance, adversarial attacks,
and the exploitation of multi-modal systems. Submissions are encouraged
from researchers exploring neural network architectures, data
augmentation, multi-task learning, and multi-sensor fusion techniques to
improve performance in real-world conditions.

This special issue seeks to collect cutting-edge research that advances
the generalization capabilities of visual classifiers under real-world
conditions. The scope includes, but is not limited to, the development
of robust neural network architectures, transformers, and machine
learning models that address challenges such as distribution shift,
adversarial attacks, and dataset imbalance. Contributions leveraging
multi-task neural networks, multimodal approaches (e.g., vision-language
models, multi-sensor fusion), and efficient, lightweight models for edge
devices are highly encouraged. Papers should align with the broader
topics of computer vision, image processing, multimedia systems, and
biometrics, with a focus on improving real-world performance across
various applications, including autonomous driving, cognitive robotics,
and security-critical environments.

Topics of interest are but not limited to:

1) Novel Neural Networks or other Architectures (e.g. Transformers) for
Dealing with Distribution Shifts in the Wild
2) Data Augmentation Strategies, Generative and Degradation models for
Enhancing Generalization on Unseen Data
3) Robustness against Adversarial Attacks
4) Bias Mitigation in Unbalanced Datasets
5) Multi-task vs Single-task Learning in Real-world Scenarios
6) Resource-efficient Architectures for Edge Computing and (near)
Real-time Processing
7) Vision-Language Models and other Multi-modal Approaches
8) Multi-sensor Fusion for Enhanced Performance
9) New Datasets and Benchmarks for Computer Vision Systems in the Wild
10) Novel Applications and Case Studies

========================

=== Guest editors ===

George Azzopardi, PhD
University of Groningen, Groningen, The Netherlands
E-mail: g.azzopardi@rug.nl

Laura Fernández Robles, PhD
University of León, Leon, Spain
E-mail: l.fernandez@unileon.es

Antonio Greco, PhD
University of Salerno, Fisciano, Italy
E-mail: agreco@unisa.it

Bruno Vento, PhD Student
University of Naples Federico II, Napoli, Italy
E-mail: bruno.vento@unina.it

========================