Emerging Trends in Distributed AI for Smart Environments
A special issue of Algorithms (ISSN 1999-4893). This special issue belongs to the section "Algorithms for Multidisciplinary Applications".
Deadline for manuscript submissions: 30 September 2025 | Viewed by 1172
Special Issue Editor
Interests: AI; software engineering; computer communications (networks); big data analysis; data mining
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
This Special Issue focuses on the latest advancements in distributed artificial intelligence (AI) and its transformative impact on smart environments. As AI continues to expand into distributed and decentralized systems, innovative solutions for managing data, optimizing resources, and enhancing decision-making processes are shaping the future of smart environments. This includes the development of intelligent infrastructures in smart cities, IoT networks, autonomous systems, and cloud–edge computing frameworks.
Researchers are encouraged to submit cutting-edge work on topics including real-time data processing, privacy-preserving AI techniques, federated learning for distributed systems, and AI-driven optimization in smart environments. The aim is to highlight methodologies that push the boundaries of scalability, reliability, and performance while addressing key challenges such as security, privacy, and energy efficiency.
The Special Issue seeks to bring together original research and review papers that explore both theoretical developments and practical applications in smart environments enhanced by distributed AI, providing a comprehensive overview of emerging trends and future directions.
Topics of interest include, but are not limited to, the following:
- Distributed AI frameworks for IoT and smart devices;
- AI-driven smart city infrastructures;
- Privacy and security in distributed AI systems;
- Edge computing and decentralized learning;
- AI for autonomous systems and real-time decision making;
- AI-enabled optimization in smart homes and industries;
- Integration of AI and cloud–edge computing;
- Applications of federated learning in smart environments.
Dr. Yousef Farhaoui
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
- distributed artificial intelligence (AI)
- smart environments
- edge computing
- Internet of Things (IoT)
- machine learning (ML)
- deep learning
- federated learning
- autonomous systems
- AI-driven optimization
- smart cities
- real-time data processing
- privacy-preserving AI
- AI for IoT devices
- cloud computing
- AI in smart infrastructure
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.