Advances in Parallel and Distributed AI Computing
A special issue of Algorithms (ISSN 1999-4893). This special issue belongs to the section "Parallel and Distributed Algorithms".
Deadline for manuscript submissions: 31 October 2025 | Viewed by 51
Special Issue Editor
Special Issue Information
Dear Colleagues,
Distributed and parallel systems have now been investigated for more than six decades. Furthermore, parallel systems are now widely used, but are often prone to limited scalability. Distributed computing is a key technology for scalable software systems, especially in the context of data science and sensor networks. In contrast to a centralized AI infrastructure, where all data and calculations take place in a single place, the distribution of AI over several nodes allows the processing of a large amount of data, enabling complex task solving to be carried out. Moreover, computing power can be scaled to train more sophisticated AI models. With respect to sensor networks—including the IoT and edge computing networks—the distribution enables, on the one hand, the local processing and a reduction in the amount data, and, on the other hand, more resilient and robust networks. Furthermore, distributed computing is inherently coupled with self-* concepts—self-organization, self-adaptivity, and self-healing, amongst others. Of particular interest for this Special Issue are new architectures, services (AIaaS and MLaaS) and virtualization, as well as field studies demonstrating the deployment of distributed architectures in AI/ML as well as sensing systems. The main objective of this Special Issue is to attract high-quality research that presents emerging solutions, enabling technologies, and/or applications based on efficient and reliable distributed and parallel AI techniques, as, for example, with multi-agent systems coupled with machine learning that address recent challenges in intelligent distributed systems to improve robustness, adaptivity, and scalability.
Topics of interest include but are not limited to the following:
- Application of artificial intelligence in distributed systems;
- Application of machine learning algorithms in distributed systems, in particular very small low-resource devices deployed in IoT/edge environments;
- Distributed algorithms, workload balancing, communication and coordination, and sensor fusion—from theory to practice;
- Distributed data storage;
- Management solutions for large volumes of data (big data);
- Distributed and parallel architectures for AI/ML applications;
- Virtualization and distributed virtual machines;
- Multi-agent systems;
- High-performance and efficient distributed systems;
- New computer processing architectures for ML tasks, accelerators for low-resource and embedded systems, and neural architectures;
- Security and privacy in distributed systems;
- Self-* capabilities in distributed systems;
- Heterogeneous and hierarchical distributed parallel systems.
Prof. Dr. Stefan Bosse
Guest Editor
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Algorithms is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- self-* capabilities
- multi-agent systems
- internet of things
- tiny ML
- distributed ML
- distributed sensor networks (DSNs)
Benefits of Publishing in a Special Issue
- Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
- Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
- Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
- External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
- e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.
Further information on MDPI's Special Issue policies can be found here.
