چکیده مقاله
Concerns about preserving user privacy in mobile information retrieval have become a serious challenge This study proposes an innovative framework combining edge computing with federated learning that performs all personalization and data processing entirely on the user's device In this architecture, lightweight language models such as DistilBERT and TinyBERT are trained locally, and no raw data ever leaves the device Only encrypted model weights are exchanged between devices and the central server to update the shared base model For each user, a dedicated personalization layer Adapter/LoRA is instantiated on the same device to precisely address individual needs Empirical evaluation on a synthetic dataset and the MS MARCO collection demonstrated that our framework achieves a precision of 0 912 and a recall of 0 885, while reducing average response latency to just 21 milliseconds Moreover, model memory usage stays around 52 MB on average, and privacy preservation remains at 100 percent throughout all stages These results show that our edge based design not only boosts search speed and quality but also runs reliably and efficiently on mobile and IoT devices which offers a practical solution for applications with strict data sensitivity requirements
کلیدواژهها
نویسندگان
Ebrahim Ebrahimi
Department of Computer Engineering, Faculty of Engineering, International University of Imam Khomeini, Qazvin, Iran
Hamed Nazarian
Department of Computer Engineering, Faculty of Engineering, International University of Imam Khomeini, Qazvin, Iran
Amin Mohammadi
Department of Computer Engineering, Faculty of Engineering, International University of Imam Khomeini, Qazvin, Iran
Morteza Mohammadi Zanjireh
Department of Computer Engineering, Faculty of Engineering, International University of Imam Khomeini, Qazvin, Iran
شیوه ارجاع
Ebrahimi, Ebrahim and Nazarian, Hamed and Mohammadi, Amin and Mohammadi Zanjireh, Morteza,1404,Edge-Based Personalized Information Retrieval for Mobile Users Leveraging Federated Learning,The Second National Conference on the Era of Technology Explosion: Artificial Intelligence, a Transformation in Industry, Trade, and Supply Chain,Tabriz
ارائهشده در
مجموعه مقالات دومین کنفرانس ملی عصر انفجار تکنولوژی؛ هوش مصنوعی، تحولی در صنعت، تجارت و زنجیره تامین17 مهر 1404 · تبریز