no code implementations • 12 Nov 2022 • Abdullah Hayajneh, Mohammad Shaqfeh, Erchin Serpedin, Mitchell A. Stotland
This paper presents a novel machine learning framework to consistently detect, localize and rate congenital cleft lip anomalies in human faces.
no code implementations • 17 Jul 2022 • Cihat Keçeci, Mohammad Shaqfeh, Hayat Mbayed, Erchin Serpedin
So, supporting federated learning with meta-learning tools such as multi-task learning and transfer learning will help enlarge the set of potential applications of federated learning by letting clients of different but related tasks share task-agnostic models that can be then further updated and tailored by each individual client for its particular task.
no code implementations • 15 Jun 2022 • Cihat Keçeci, Mohammad Shaqfeh, Fawaz Al-Qahtani, Muhammad Ismail, Erchin Serpedin
In this way, instead of just waiting for the slower clients to finish their computation, more clients can participate in each iteration.
no code implementations • 11 Mar 2021 • Mohammad Shaqfeh, Salah Hessien, Erchin Serpedin
Real-time traffic information can be utilized to enhance the efficiency of transportation networks by dynamically updating routing plans to mitigate traffic jams.