Muhammad Asad

According to our database, Muhammad Asad authored at least 30 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Integrative Federated Learning and Zero-Trust Approach for Secure Wireless Communications.

Muhammad Asad, Safa Otoum

IEEE Wirel. Commun., April, 2024

Secure and Efficient Blockchain-Based Federated Learning Approach for VANETs.

Muhammad Asad, Saima Shaukat, Ehsan Javanmardi, Jin Nakazato, Naren Bao, Manabu Tsukada

IEEE Internet Things J., 2024

Optimizing mmWave Beamforming for High-Speed Connected Autonomous Vehicles: An Adaptive Approach.

Ryo Iwaki, Jin Nakazato, Muhammad Asad, Ehsan Javanmardi, Kazuki Maruta, Manabu Tsukada, Hideya Ochiai, Hiroshi Esaki

Proceedings of the 21st IEEE Consumer Communications & Networking Conference, 2024

2023

Limitations and Future Aspects of Communication Costs in Federated Learning: A Survey.

Muhammad Asad, Saima Shaukat, Dou Hu, Zekun Wang, Ehsan Javanmardi, Jin Nakazato, Manabu Tsukada

Sensors, September, 2023

New Hybrid Deep Learning Models to Predict Cost From Healthcare Providers in Smart Hospitals.

Muhammad Hamza Rafique Bhatti, Nadeem Javaid, Babar Mansoor, Nabil Ali Alrajeh, Muhammad Aslam, Muhammad Asad

IEEE Access, 2023

Towards a Trusted Inter-Reality: Exploring System Architectures for Digital Identification.

Naren Bao, Jin Nakazato, Muhammad Asad, Ehsan Javanmardi, Manabu Tsukada

Proceedings of the 13th International Conference on the Internet of Things, 2023

Overcoming Environmental Challenges in CAVs through MEC-based Federated Learning.

Zekun Wang, Jin Nakazato, Muhammad Asad, Ehsan Javanmardi, Manabu Tsukada

Proceedings of the Fourteenth International Conference on Ubiquitous and Future Networks, 2023

Towards Privacy-Aware Federated Learning for User-Sensitive Data.

Muhammad Asad, Safa Otoum

Proceedings of the Fifth International Conference on Blockchain Computing and Applications, 2023

2022

Adaptive Machine Learning Based Distributed Denial-of-Services Attacks Detection and Mitigation System for SDN-Enabled IoT.

Muhammad Aslam, Dengpan Ye, Aqil Tariq, Muhammad Asad, Muhammad Hanif, David Ndzi, Samia Allaoua Chelloug, Mohamed Abd Elaziz, Mohammed Abdulaziz Aide Al-qaness, Syeda Fizzah Jilani

Sensors, 2022

Deep Learning-Based Change Detection in Remote Sensing Images: A Review.

Ayesha Shafique, Guo Cao, Zia Khan, Muhammad Asad, Muhammad Aslam

Remote. Sens., 2022

THF: 3-Way Hierarchical Framework for Efficient Client Selection and Resource Management in Federated Learning.

Muhammad Asad, Ahmed Moustafa, Fethi A. Rabhi, Muhammad Aslam

IEEE Internet Things J., 2022

Multi-hop similarity-based-clustering framework for IoT-Oriented Software-Defined wireless sensor networks.

Ayesha Shafique, Muhammad Asad, Muhammad Aslam, Saima Shaukat, Guo Cao

IET Wirel. Sens. Syst., 2022

SHFL: K-Anonymity-Based Secure Hierarchical Federated Learning Framework for Smart Healthcare Systems.

Muhammad Asad, Muhammad Aslam, Syeda Fizzah Jilani, Saima Shaukat, Manabu Tsukada

Future Internet, 2022

ADD-Net: An Effective Deep Learning Model for Early Detection of Alzheimer Disease in MRI Scans.

Mian Muhammad Sadiq Fareed, Shahid Zikria, Gulnaz Ahmed, Mui-Zzud-Din, Saqib Mahmood, Muhammad Aslam, Syeda Fizzah Jilani, Ahmad Moustafa, Muhammad Asad

IEEE Access, 2022

Resource and Heterogeneity-aware Clients Eligibility Protocol in Federated Learning.

Muhammad Asad, Safa Otoum, Saima Shaukat

Proceedings of the IEEE Global Communications Conference, 2022

2021

Federated Learning Versus Classical Machine Learning: A Convergence Comparison.

Muhammad Asad, Ahmed Moustafa, Takayuki Ito

CoRR, 2021

CEEP-FL: A comprehensive approach for communication efficiency and enhanced privacy in federated learning.

Muhammad Asad, Ahmed Moustafa, Muhammad Aslam

Appl. Soft Comput., 2021

Toward Agent-based Interactive Systems to Support Rehabilitation Process.

TagyAldeen Mohamed, Ahmed Moustafa, Takayuki Ito, Muhammad Asad

Proceedings of the 24th IEEE International Conference on Computer Supported Cooperative Work in Design, 2021

Evaluating the Communication Efficiency in Federated Learning Algorithms.

Muhammad Asad, Ahmed Moustafa, Takayuki Ito, Muhammad Aslam

Proceedings of the 24th IEEE International Conference on Computer Supported Cooperative Work in Design, 2021

PPCSA: Partial Participation-Based Compressed and Secure Aggregation in Federated Learning.

Ahmed Moustafa, Muhammad Asad, Saima Shaukat, Alexander Norta

Proceedings of the Advanced Information Networking and Applications, 2021

2020

Application-Aware SDN-Based Iterative Reconfigurable Routing Protocol for Internet of Things (IoT).

Ayesha Shafique, Guo Cao, Muhammad Aslam, Muhammad Asad, Dengpan Ye

Sensors, 2020

A Critical Evaluation of Privacy and Security Threats in Federated Learning.

Muhammad Asad, Ahmed Moustafa, Chao Yu

Sensors, 2020

Adaptive Machine learning: A Framework for Active Malware Detection.

Muhammad Aslam, Dengpan Ye, Muhammad Hanif, Muhammad Asad

Proceedings of the 16th International Conference on Mobility, Sensing and Networking, 2020

Machine Learning Based SDN-enabled Distributed Denial-of-Services Attacks Detection and Mitigation System for Internet of Things.

Muhammad Aslam, Dengpan Ye, Muhammad Hanif, Muhammad Asad

Proceedings of the Machine Learning for Cyber Security - Third International Conference, 2020

2019

IoT enabled adaptive clustering based energy efficient routing protocol for wireless sensor networks.

Muhammad Asad, Muhammad Aslam, Nianmin Yao, Naeem Ayoub, Khalid Ibrahim Qureshi, Ehsan Ullah Munir

Int. J. Ad Hoc Ubiquitous Comput., 2019

2018

Heuristic Path-Reconfiguration Algorithm Using Multi-hop Opportunistic Routing in WSNs.

Muhammad Asad, Muhammad Aslam

Proceedings of the 2018 International Conference on Frontiers of Information Technology, 2018

2017

Multihopping Multilevel Clustering Heterogeneity-Sensitive Optimized Routing Protocol for Wireless Sensor Networks.

Muhammad Aslam, Fan Wang, Xiaopeng Hu, Muhammad Asad, Ehsan Ullah Munir

J. Sensors, 2017

MAHEE: Multi-hop advance heterogeneity-aware energy efficient path planning algorithm for wireless sensor networks.

Naeem Ayoub, Muhammad Asad, Muhammad Aslam, Zhenguo Gao, Ehsan Ullah Munir, Rachida Tobji

Proceedings of the IEEE Pacific Rim Conference on Communications, 2017

Energy Efficient Cubical layered Path Planning Algorithm (EECPPA) for acoustic UWSNs.

Muhammad Aslam, Fan Wang, Zefeng Lv, Muhammad Asad, Samra Zafar, Ehsan Ullah Munir, Xiaopeng Hu

Proceedings of the IEEE Pacific Rim Conference on Communications, 2017

2014

HADCC: Hybrid Advanced Distributed and Centralized Clustering Path Planning Algorithm for WSNs.

Muhammad Aslam, Ehsan Ullah Munir, Muhammad Bilal, Muhammad Asad, Asad Ali, Tauseef Shah, Syed Bilal

Proceedings of the 28th IEEE International Conference on Advanced Information Networking and Applications, 2014