RELAX 2025

Scope

The pervasiveness of complex AI and data analytics technologies has created new challenges for distributed data systems. These systems must manage diverse and high-velocity data sources, ranging from multivariate, audiovisual, relational, and unstructured data. Additionally, real-time streaming data requires novel computational approaches to handle its evolving nature efficiently.

The RELAX 2025 workshop focuses on developing scalable and efficient data-intensive software systems that can navigate the trade-offs between strict correctness guarantees and system performance. As modern data analytics systems must process incomplete, uncertain, or inconsistent data while maintaining efficiency and usability, this workshop seeks to explore:

• Federated AI models to enhance robustness without centralized data collection
• Computational approximations for efficiency and sustainability in AI processing.
• Addressing data inaccuracies, bias, and ethical considerations in analytics systems.
• Methods to balance accuracy, consistency, and performance in large-scale data pipelines.
• Techniques for ensuring data quality in dynamic, streaming, and distributed environments.

We aim to foster discussions on designing flexible data management systems that balance decentralization, approximation, and ethics while addressing the challenges of high-velocity and diverse data.

Submission Guidelines

We welcome submissions in two formats:

• Regular Papers: Up to 6 pages, including references.
• Short Papers: Up to 4 pages, suitable for preliminary or position papers.

Manuscripts must follow the ACM conference template. Submissions should be formatted in the ACM proceedings style (double column “sigconf” from https://www.acm.org/publications/proceedings-template , font size set to 10 pt) and submitted as PDF file via EasyChair at https://easychair.org/conferences?conf=relax2025. RELAX 2025 adopts a single-blind review process for both categories of papers. All submissions will be peer-reviewed and accepted papers will be published. Authors of selected papers may be invited to submit extended versions of their work to the special issue for Elsevier's Information Systems on "Advances in Distributed Data Processing and Event-Based Systems". RELAX 2025 plans to be an in-person event, and the authors of accepted papers are expected to arrange for in-person attendance to present the paper and answer questions.

Workshop Structure

The half-day workshop consists of three segments:

• Keynote Talk - TBD
• Paper Presentations – Accepted papers will be presented with Q&A discussions.
• Panel Discussion – Experts will discuss challenges in implementing relaxed semantics in real-world applications.

Target Audience

This workshop is designed for researchers and practitioners in data analytics, distributed computing, and AI, particularly those interested in balancing accuracy, efficiency, and ethics in large-scale data-driven systems.