| A comprehensive survey on privacy-preserving techniques in federated recommendation systems M Asad, S Shaukat, E Javanmardi, J Nakazato, M Tsukada Applied Sciences 13 (10), 6201, 2023 | 18 | 2023 |
| Limitations and future aspects of communication costs in federated learning: A survey M Asad, S Shaukat, D Hu, Z Wang, E Javanmardi, J Nakazato, M Tsukada Sensors 23 (17), 7358, 2023 | 11 | 2023 |
| Shfl: K-anonymity-based secure hierarchical federated learning framework for smart healthcare systems M Asad, M Aslam, SF Jilani, S Shaukat, M Tsukada Future Internet 14 (11), 338, 2022 | 11 | 2022 |
| Secure and efficient blockchain-based federated learning approach for VANETs M Asad, S Shaukat, E Javanmardi, J Nakazato, N Bao, M Tsukada IEEE Internet of Things Journal, 2023 | 8 | 2023 |
| PPCSA: Partial Participation-Based Compressed and Secure Aggregation in Federated Learning A Moustafa, M Asad, S Shaukat, A Norta International Conference on Advanced Information Networking and Applications …, 2021 | 6 | 2021 |
| Developing an Urdu lemmatizer using a dictionary-based lookup approach S Shaukat, M Asad, A Akram Applied Sciences 13 (8), 5103, 2023 | 5 | 2023 |
| Multi‐hop similarity‐based‐clustering framework for IoT‐Oriented Software‐Defined wireless sensor networks A Shafique, M Asad, M Aslam, S Shaukat, G Cao IET Wireless Sensor Systems, 2022 | 5 | 2022 |
| Resource and heterogeneity-aware clients eligibility protocol in federated learning M Asad, S Otoum, S Shaukat GLOBECOM 2022-2022 IEEE Global Communications Conference, 1140-1145, 2022 | 4 | 2022 |
| Clients Eligibility-Based Lightweight Protocol in Federated Learning: An IDS Use-Case M Asad, S Otoum, S Shaukat IEEE Transactions on Network and Service Management, 2024 | 2 | 2024 |
| SHFL: K-Anonymity-Based Secure Hierarchical Federated Learning Framework for Smart Healthcare Systems. Future Internet 2022, 14, 338 M Asad, M Aslam, SF Jilani, S Shaukat, M Tsukada s Note: MDPI stays neutral with regard to jurisdictional claims in published …, 2022 | | 2022 |
