no code implementations • 27 Oct 2023 • Manish Osti, Aashray Thakuri, Basheer Qolomany, Aos Mulahuwaish
This study presents Weighted Sampled Split Learning (WSSL), an innovative framework tailored to bolster privacy, robustness, and fairness in distributed machine learning systems.
no code implementations • 15 Jun 2023 • Mohammed Aledhari, Mohamed Rahouti, Junaid Qadir, Basheer Qolomany, Mohsen Guizani, Ala Al-Fuqaha
We also discuss the technical details related to the automatic driving comfort system, the response time of the AV driver, the comfort level of the AV, motion sickness, and related optimization technologies.
no code implementations • 3 Mar 2023 • Aos Mulahuwaish, Matthew Loucks, Basheer Qolomany, Ala Al-Fuqaha
We found differences in language and interest between these two groups regarding Bitcoin and that the opinion leaders of Twitter are not aligned with the majority of users.
1 code implementation • 13 Sep 2022 • Aos Mulahuwaish, Manish Osti, Kevin Gyorick, Majdi Maabreh, Ajay Gupta, Basheer Qolomany
Online news and information sources are convenient and accessible ways to learn about current issues.
no code implementations • 29 Apr 2022 • Shadha Tabatabai, Ihab Mohammed, Basheer Qolomany, Abdullatif Albasser, Kashif Ahmad, Mohamed Abdallah, Ala Al-Fuqaha
The remaining cluster with surviving clients is then used for training the best FL model (i. e., remaining FL model).
no code implementations • 6 Apr 2021 • Ghezlane Halhoul Merabet, Mohamed Essaaidi, Mohamed Ben Haddou, Basheer Qolomany, Junaid Qadir, Muhammad Anan, Ala Al-Fuqaha, Mohamed Riduan Abid, Driss Benhaddou
Building operations represent a significant percentage of the total primary energy consumed in most countries due to the proliferation of Heating, Ventilation and Air-Conditioning (HVAC) installations in response to the growing demand for improved thermal comfort.
no code implementations • 1 Mar 2021 • Kashif Ahmad, Firoj Alam, Junaid Qadir, Basheer Qolomany, Imran Khan, Talhat Khan, Muhammad Suleman, Naina Said, Syed Zohaib Hassan, Asma Gul, Ala Al-Fuqaha
In this work, we propose a pipeline starting from manual annotation via a crowd-sourcing study and concluding on the development and training of AI models for automatic sentiment analysis of users' reviews.
no code implementations • 16 Nov 2020 • Ihab Mohammed, Shadha Tabatabai, Ala Al-Fuqaha, Faissal El Bouanani, Junaid Qadir, Basheer Qolomany, Mohsen Guizani
In this work, we solve the problem of optimizing accuracy in stateful FL with a budgeted number of candidate clients by selecting the best candidate clients in terms of test accuracy to participate in the training process.
no code implementations • 5 Sep 2020 • Basheer Qolomany, Kashif Ahmad, Ala Al-Fuqaha, Junaid Qadir
Most of the research on Federated Learning (FL) has focused on analyzing global optimization, privacy, and communication, with limited attention focusing on analyzing the critical matter of performing efficient local training and inference at the edge devices.
no code implementations • 11 Aug 2020 • Basheer Qolomany, Ihab Mohammed, Ala Al-Fuqaha, Mohsen Guizan, Junaid Qadir
With Machine Learning (ML) services now used in a number of mission-critical human-facing domains, ensuring the integrity and trustworthiness of ML models becomes all-important.
no code implementations • 22 Jun 2020 • Ghezlane Halhoul Merabet, Mohamed Essaaidi, Mohamed Ben-Haddou, Basheer Qolomany, Junaid Qadir, Muhammad Anan, Ala Al-Fuqaha, Riduan Mohamed Abid, Driss Benhaddou
Recent works have been directed towards more advanced control strategies, based mainly on artificial intelligence which has the ability to imitate human behavior.
no code implementations • 1 Apr 2019 • Basheer Qolomany, Ala Al-Fuqaha, Ajay Gupta, Driss Benhaddou, Safaa Alwajidi, Junaid Qadir, Alvis C. Fong
In this paper, we survey the area of smart building with a special focus on the role of techniques from machine learning and big data analytics.
no code implementations • 28 Nov 2017 • Basheer Qolomany, Majdi Maabreh, Ala Al-Fuqaha, Ajay Gupta, Driss Benhaddou
The number of hidden layers and the number of neurons in each layer of a deep machine learning network are two key parameters, which have main influence on the performance of the algorithm.
no code implementations • 28 Nov 2017 • Basheer Qolomany, Ala Al-Fuqaha, Driss Benhaddou, Ajay Gupta
In this paper we propose to replace sensor technology with time series models that can predict the number of occupants at a given location and time.