IEEE 2024 Conferences on Machine Learning & Data Engineering

IEEE 2024 conferences illuminate machine learning and data engineering frontiers worldwide

In the rapidly evolving landscape of technology, the IEEE (Institute of Electrical and Electronics Engineers) continues to play a pivotal role in advancing knowledge and fostering innovation. Two key conferences set to take place in 2024, the IEEE International Conference on Data Engineering (ICDE) and the IEEE Conference on Secure and Trustworthy Machine Learning (SaTML), promise to be significant gatherings of researchers, practitioners, and thought leaders.

IEEE International Conference on Data Engineering (ICDE):

The ICDE is an annual event recognized as a premier conference in data and information engineering. It serves as a platform to address crucial research issues related to designing, building, managing, and evaluating advanced data-intensive systems and applications. With a global audience comprising over 500 researchers and practitioners from academia, industry, and government, ICDE stands as a melting pot of cutting-edge ideas and experiences.

ICDE 2024 will be held in the vibrant city of Utrecht, Netherlands. Renowned for its historical significance and cultural richness, Utrecht is the fourth-largest city in the country, strategically located at the heart of the Netherlands. The conference promises to attract leading data scientists, professors, developers, and young researchers, fostering an environment of knowledge exchange and collaboration.

IEEE Conference on Secure and Trustworthy Machine Learning (SaTML):

Scheduled for April 9-11, 2024, at the University of Toronto in Canada, SaTML is set to explore the theoretical and practical aspects of vulnerabilities inherent in Machine Learning (ML) systems. Sponsored by the IEEE Computer Society Technical Committee of Security and Privacy, the conference aims to delve into the robustness of ML algorithms and systems, fostering the development of a unified and coherent scientific community dedicated to building trustworthy ML systems.

Call for Competitions and Papers:

The SaTML conference extends a call for competitions, with submissions due by August 24th, 2023. This includes opportunities to participate in three competitions accepted for SaTML 2024. Additionally, the call for papers encourages researchers to submit abstracts by October 4, 2023, and full paper submissions by October 11, 2023. The notification of acceptance is slated for Tuesday, December 19, 2023.

The conference provides a unique opportunity for participants to engage in competitions and contribute to the scientific discourse around secure and trustworthy machine learning. Notably, travel support will be available thanks to the generous sponsorship, creating an inclusive environment for diverse participation.

Participation and Registration:

For those keen on being part of SaTML 2024, the registration website offers comprehensive information on the event. As the conference aims to foster collaboration and knowledge sharing, accepted papers are available for perusal, providing a glimpse into the diverse range of topics that will be covered.

Conclusion:

In the ever-evolving realm of data engineering and secure machine learning, IEEE's conferences stand as beacons, guiding researchers, practitioners, and enthusiasts toward the latest advancements. As ICDE 2024 unfolds in the picturesque city of Utrecht and SaTML 2024 takes center stage in Toronto, the collaborative spirit of these gatherings promises to pave the way for groundbreaking developments and a deeper understanding of the challenges and opportunities in these dynamic fields.