Muhammad Asad - RankMe

45 papers B 2C 3Misc 1Journal 22Unranked 17

Year	Rank	Type	Title / Venue / Authors
2026	C	`conf`	Federated Learning-based Adaptive Idle-Time Training for Energy-Efficient Edge Nodes. ICCE Muhammad Asad, Safa Otoum
2025	J	`jnl`	Bppfl: a blockchain-based framework for privacy-preserving federated learning. Clust. Comput. Muhammad Asad, Safa Otoum
2025	—	`conf`	FL-SATS: Federated Learning for Sybil Attack Detection in Transportation System. ICC Muhammad Asad, Safa Otoum
2025	—	`conf`	FLChain-LLM: A Blockchain-Enabled Framework for Training Large Language Models. BCCA Muhammad Asad, Safa Otoum
2025	J	`jnl`	Federated learning for secure and efficient vehicular communications in open RAN. Clust. Comput. Muhammad Asad, Saima Shaukat, Jin Nakazato, Ehsan Javanmardi, Manabu Tsukada
2025	—	`conf`	STO: A Dynamic AIoT-Based Approach for Energy-Efficient Urban Traffic Management. ICC Muhammad Asad, Safa Otoum, Bassem Ouni
2025	J	`jnl`	Zero-Trust Federated Learning via 6G URLLC for Vehicular Communications. IEEE J. Sel. Areas Commun. Muhammad Asad, Safa Otoum, Bassem Ouni
2024	—	`conf`	Blockchain-Enhanced Federated Learning for Internet of Vehicles. BCCA Muhammad Asad, Safa Otoum
2024	J	`jnl`	Clients Eligibility-Based Lightweight Protocol in Federated Learning: An IDS Use Case. IEEE Trans. Netw. Serv. Manag. Muhammad Asad, Safa Otoum, Saima Shaukat
2024	—	`conf`	Federated Learning for Personalized User Experiences in the Metaverse. iMETA Muhammad Asad, Safa Otoum
2024	—	`conf`	Federated Learning in Vehicular Networks: A Review of Emerging Trends and Future Directions. WF-IoT Muhammad Asad, Safa Otoum, Bassem Ouni
2024	J	`jnl`	Federated learning for efficient spectrum allocation in open RAN. Clust. Comput. Muhammad Asad, Safa Otoum
2024	J	`jnl`	Integrative Federated Learning and Zero-Trust Approach for Secure Wireless Communications. IEEE Wirel. Commun. Muhammad Asad, Safa Otoum
2024	—	`conf`	Optimizing mmWave Beamforming for High-Speed Connected Autonomous Vehicles: An Adaptive Approach. CCNC Ryo Iwaki, Jin Nakazato, Muhammad Asad, Ehsan Javanmardi, Kazuki Maruta, Manabu Tsukada, Hideya Ochiai, Hiroshi Esaki
2024	J	`jnl`	Secure and Efficient Blockchain-Based Federated Learning Approach for VANETs. IEEE Internet Things J. Muhammad Asad, Saima Shaukat, Ehsan Javanmardi, Jin Nakazato, Naren Bao, Manabu Tsukada
2023	—	`conf`	Edge Computing for the Metaverse: Balancing Security and Privacy Concerns. iMETA Muhammad Asad, Safa Otoum, Omar Al Fandi
2023	J	`jnl`	Limitations and Future Aspects of Communication Costs in Federated Learning: A Survey. Sensors Muhammad Asad, Saima Shaukat, Dou Hu, Zekun Wang, Ehsan Javanmardi, Jin Nakazato, Manabu Tsukada
2023	J	`jnl`	New Hybrid Deep Learning Models to Predict Cost From Healthcare Providers in Smart Hospitals. IEEE Access Muhammad Hamza Rafique Bhatti, Nadeem Javaid, Babar Mansoor, Nabil Ali Alrajeh, Muhammad Aslam, Muhammad Asad
2023	—	`conf`	Overcoming Environmental Challenges in CAVs through MEC-based Federated Learning. ICUFN Zekun Wang, Jin Nakazato, Muhammad Asad, Ehsan Javanmardi, Manabu Tsukada
2023	—	`conf`	Towards Privacy-Aware Federated Learning for User-Sensitive Data. BCCA Muhammad Asad, Safa Otoum
2023	—	`conf`	Towards a Trusted Inter-Reality: Exploring System Architectures for Digital Identification. IoT Naren Bao, Jin Nakazato, Muhammad Asad, Ehsan Javanmardi, Manabu Tsukada
2023	—	`conf`	Wireless Ad-Hoc Federated Learning for Cooperative Map Creation and Localization Models. WF-IoT Yusuke Sugizaki, Hideya Ochiai, Muhammad Asad, Manabu Tsukada, Hiroshi Esaki
2022	J	`jnl`	ADD-Net: An Effective Deep Learning Model for Early Detection of Alzheimer Disease in MRI Scans. IEEE Access Mian Muhammad Sadiq Fareed, Shahid Zikria, Gulnaz Ahmed, Mui-Zzud-Din, Saqib Mahmood, Muhammad Aslam, Syeda Fizzah Jilani, Ahmad Moustafa, Muhammad Asad
2022	J	`jnl`	Adaptive Machine Learning Based Distributed Denial-of-Services Attacks Detection and Mitigation System for SDN-Enabled IoT. Sensors 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
2022	J	`jnl`	Deep Learning-Based Change Detection in Remote Sensing Images: A Review. Remote. Sens. Ayesha Shafique, Guo Cao, Zia Khan, Muhammad Asad, Muhammad Aslam
2022	J	`jnl`	Multi-hop similarity-based-clustering framework for IoT-Oriented Software-Defined wireless sensor networks. IET Wirel. Sens. Syst. Ayesha Shafique, Muhammad Asad, Muhammad Aslam, Saima Shaukat, Guo Cao
2022	B	`conf`	Resource and Heterogeneity-aware Clients Eligibility Protocol in Federated Learning. GLOBECOM Muhammad Asad, Safa Otoum, Saima Shaukat
2022	J	`jnl`	SHFL: K-Anonymity-Based Secure Hierarchical Federated Learning Framework for Smart Healthcare Systems. Future Internet Muhammad Asad, Muhammad Aslam, Syeda Fizzah Jilani, Saima Shaukat, Manabu Tsukada
2022	J	`jnl`	THF: 3-Way Hierarchical Framework for Efficient Client Selection and Resource Management in Federated Learning. IEEE Internet Things J. Muhammad Asad, Ahmed Moustafa, Fethi A. Rabhi, Muhammad Aslam
2021	J	`jnl`	CEEP-FL: A comprehensive approach for communication efficiency and enhanced privacy in federated learning. Appl. Soft Comput. Muhammad Asad, Ahmed Moustafa, Muhammad Aslam
2021	C	`conf`	Evaluating the Communication Efficiency in Federated Learning Algorithms. CSCWD Muhammad Asad, Ahmed Moustafa, Takayuki Ito, Muhammad Aslam
2021	J	`jnl`	Federated Learning Versus Classical Machine Learning: A Convergence Comparison. CoRR Muhammad Asad, Ahmed Moustafa, Takayuki Ito
2021	—	`conf`	PPCSA: Partial Participation-Based Compressed and Secure Aggregation in Federated Learning. AINA (2) Ahmed Moustafa, Muhammad Asad, Saima Shaukat, Alexander Norta
2021	C	`conf`	Toward Agent-based Interactive Systems to Support Rehabilitation Process. CSCWD TagyAldeen Mohamed, Ahmed Moustafa, Takayuki Ito, Muhammad Asad
2020	J	`jnl`	A Critical Evaluation of Privacy and Security Threats in Federated Learning. Sensors Muhammad Asad, Ahmed Moustafa, Chao Yu
2020	—	`conf`	Adaptive Machine learning: A Framework for Active Malware Detection. MSN Muhammad Aslam, Dengpan Ye, Muhammad Hanif, Muhammad Asad
2020	J	`jnl`	Application-Aware SDN-Based Iterative Reconfigurable Routing Protocol for Internet of Things (IoT). Sensors Ayesha Shafique, Guo Cao, Muhammad Aslam, Muhammad Asad, Dengpan Ye
2020	J	`jnl`	Evaluating the Communication Efficiency in Federated Learning Algorithms. CoRR Muhammad Asad, Ahmed Moustafa, Takayuki Ito, Muhammad Aslam
2020	—	`conf`	Machine Learning Based SDN-enabled Distributed Denial-of-Services Attacks Detection and Mitigation System for Internet of Things. ML4CS (1) Muhammad Aslam, Dengpan Ye, Muhammad Hanif, Muhammad Asad
2019	J	`jnl`	IoT enabled adaptive clustering based energy efficient routing protocol for wireless sensor networks. Int. J. Ad Hoc Ubiquitous Comput. Muhammad Asad, Muhammad Aslam, Nianmin Yao, Naeem Ayoub, Khalid Ibrahim Qureshi, Ehsan Ullah Munir
2018	Misc	`conf`	Heuristic Path-Reconfiguration Algorithm Using Multi-hop Opportunistic Routing in WSNs. FIT Muhammad Asad, Muhammad Aslam
2017	—	`conf`	Energy Efficient Cubical layered Path Planning Algorithm (EECPPA) for acoustic UWSNs. PACRIM Muhammad Aslam, Fan Wang, Zefeng Lv, Muhammad Asad, Samra Zafar, Ehsan Ullah Munir, Xiaopeng Hu
2017	—	`conf`	MAHEE: Multi-hop advance heterogeneity-aware energy efficient path planning algorithm for wireless sensor networks. PACRIM Naeem Ayoub, Muhammad Asad, Muhammad Aslam, Zhenguo Gao, Ehsan Ullah Munir, Rachida Tobji
2017	J	`jnl`	Multihopping Multilevel Clustering Heterogeneity-Sensitive Optimized Routing Protocol for Wireless Sensor Networks. J. Sensors Muhammad Aslam, Fan Wang, Xiaopeng Hu, Muhammad Asad, Ehsan Ullah Munir
2014	B	`conf`	HADCC: Hybrid Advanced Distributed and Centralized Clustering Path Planning Algorithm for WSNs. AINA Muhammad Aslam, Ehsan Ullah Munir, Muhammad Bilal, Muhammad Asad, Asad Ali, Tauseef Shah, Syed Bilal