A successful discussion was held at Jordan University of Science and Technology for the Master's thesis presented by the student Lamis Walid Mustafa Rababa titled "Optimizing Federated Learning for Medical Images Analysis Through Traffic Efficiency"
(Optimizing Federal Learning for Medical Images Analysis Through Traffic Efficiency).
Federated Learning's Role in Improving AI Performance.
Challenges facing shared learning, such as traffic jams.
Using pressure techniques to address traffic congestion problem.
Improve the efficiency of interconnection and interaction between smart systems using compression technologies.
Positive impact of addressing traffic congestion on the development of AI and improving quality of life.
Commended the debate panel, which included prof Muneer Bani Yassin (Chief Supervisor), doctor Omar Al-Zaabi (Associate Supervisor), doctor Qasi Abu Ain (member of the internal examiner committee), and doctor Hani Beni Salameh (member of the external examiner committee), with the outstanding research of student Lemis, and discussed with her some additional details about her methodology and results.
The chairman of the supervisory committee confirmed the message, prof. Munir Bani Yassin, on the value of scientific research presented by the student, emphasized the efforts made by her.
The message addressed challenges facing shared learning processes, including the challenge of traffic congestion that negatively impacts the efficiency of communication between smart systems. The message has introduced specific compression techniques to accelerate communication processes and improve the interchangeability between participating devices, reinforcing its ability to adapt and improve overall performance.
This research is a valuable addition to the scientific field, contributing to the development of machine learning technologies and medical image analysis, which enhances the quality of healthcare and contributes to the overall improvement of human life.
On this occasion, we congratulate student Lamis Walid Mustafa Rababa on her outstanding achievement, and we wish her more success in her academic and professional career.
