Ihab Mohammed

Exploration and Exploitation in Federated Learning to Exclude Clients with Poisoned Data

Ala Al-Fuqaha, Kashif Ahmad, Shadha Tabatabai, 2022, 2022 International Wireless Communications and Mobile Computing (IWCMC).

Incentive-Driven Federated Learning and Associated Security Challenges: A Systematic Review

Asad M. Ali, Ala I. Al-Fuqaha, A. Qayyum, 2021 .

Trust-Based Cloud Machine Learning Model Selection for Industrial IoT and Smart City Services pdf

Mohsen Guizani, Junaid Qadir, Ala I. Al-Fuqaha, 2020, IEEE Internet of Things Journal.

Budgeted Online Selection of Candidate IoT Clients to Participate in Federated Learning pdf

Mohsen Guizani, Faissal El Bouanani, Ala Al-Fuqaha, 2020, IEEE Internet of Things Journal.

Severity-Based Prioritized Processing of Packets with Application in VANETs

Sameh Sorour, Ala Al-Fuqaha, Ihab Mohammed, 2020, IEEE Transactions on Mobile Computing.

Managing a cluster of IoT brokers in support of smart city applications

Ala I. Al-Fuqaha, Mohammad Ali Salahuddin, Ihab Mohammed, 2017, 2017 IEEE 28th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC).

A systematic review of federated learning incentive mechanisms and associated security challenges

Ala I. Al-Fuqaha, Junaid Qadir, Ihab Mohammed, 2023, Comput. Sci. Rev..

Utilizing Machine Learning Models to Predict the Car Crash Injury Severity among Elderly Drivers

Rabia Emhamed Al Mamlook, Ihab Mohammed, Tiba Zaki Abdulhameed, 2020, 2020 IEEE International Conference on Electro Information Technology (EIT).

Trust-Based Cloud Machine Learning Model Selection for Industrial IoT and Smart City Services

M. Guizani, Junaid Qadir, Ala Al-Fuqaha, 2020, IEEE Internet of Things Journal.