Continuation of the activities of the Scientific Week of the College of Engineering and Information Technology 1446 2024-2025 AD 

University Media 

The activities of the Scientific Week of the College of Engineering and Information Technology for the academic year 1446 AH (2024-2025 AD) continue at the Emirates International University. Which is presented by experts specialized in the fields of engineering and technology, from different countries of the world, with the aim of enhancing scientific and technological knowledge among students and faculty members. 

The second day of the Scientific Week, which was attended by Dr. Nasser Al-Mufri, President of the University, Dr. Fouad Hanash, Secretary-General, Dr. Ibrahim Fareh, Dean of the College of Engineering, and Dr. Sharaf Al-Hamdi, Dean of the Center for Development and Quality Assurance, witnessed the presentation of a scientific seminar for cybersecurity students, on enhancing security and privacy through fragmented federal learning technology, presented by Dr. Najib Gabriel via the Zoom platform from the University of Rovira i Virgili - Spain. It was moderated by Dr. Malik Al-Jabri. 

 During the seminar, the university president spoke to the students about the importance of such seminars presented by specialized experts from all over the world, and urged them to benefit from them and apply what they have learned during their academic and professional careers in the future. The university president thanked and appreciated the lecturer who devoted his time and effort to presenting the essence of his scientific and professional experience in this field to the university students. 

The seminar provided a detailed explanation of the concept of fragmented federal learning and how it works. The importance of this technology in maintaining data privacy was emphasized by training machine learning models on local data without the need to share it with a central server. 

The challenges facing the implementation of fragmented federal learning on a large scale were also highlighted, such as performance challenges, varying data quality, and securing communications between devices. 

A wide range of potential applications of fragmented federal learning were reviewed in various fields, such as healthcare, finance, and industry. The possibility of using this technology to improve the accuracy of models while maintaining the privacy of sensitive data was emphasized. 

The importance of ensuring data security and privacy in fragmented federal learning environments was also discussed. And presenting a set of security measures that can be taken to protect data from hacking and unauthorized access. 

The symposium also pointed out the importance of international cooperation in developing common standards to enhance security and privacy in the field of fragmented federal learning. 

The symposium stressed the importance of fragmented federal learning as a powerful tool to enhance security and privacy in the era of big data. It indicated that this technology will play a pivotal role in the development of future artificial intelligence applications. 

The symposium concluded that fragmented federal learning represents a promising approach to enhancing security and privacy in the field of artificial intelligence. 

It is worth noting that the activities of the scientific week, which will be held from August 31 to September 5, 2024, include a variety of activities such as lectures, seminars, workshops and scientific exhibitions. 

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