An autoencoder-based stacked LSTM transfer learning model for EC forecasting. - Abdullahi Uwaisu Muhammad; Hamza Djigal; Tasiu Muazu; Jibril Muhammad Adam; Abdoul Fatakhou Ba; Umar Sani Dabai; Sani Tijjani; Muhammad Sabo Yahaya; Aliyu Ashiru; Umar Muhammad Mustapha Kumshe; Saddam Aliyu; Faruwa Ajibola Richard (Earth Sci. Informatics, 2023)

A federated learning system with data fusion for healthcare using multi-party computation and additive secret sharing. - Tasiu Muazu; Yingchi Mao; Abdullahi Uwaisu Muhammad; Muhammad Ibrahim; Umar Muhammad Mustapha Kumshe; Omaji Samuel (Comput. Commun., 2024)

IoMT: A Medical Resource Management System Using Edge Empowered Blockchain Federated Learning. - Tasiu Muazu; Yingchi Mao; Abdullahi Uwaisu Muhammad; Muhammad Ibrahim; Omaji Samuel; Prayag Tiwari (IEEE Trans. Netw. Serv. Manag., 2024)

Adaptive layer-wise personalized federated learning via dual delay update in future communication networks. - Haowen Xu; Yingchi Mao; Si Chen; Yi Rong; Tasiu Muazu; Xiaoming He (Comput. Commun., 2025)

A federated learning-based selection and incentive system using blockchain technology. - Yang Han; Tasiu Muazu; Omaji Samuel; Shiyu Miao (Pervasive Mob. Comput., 2025)

Blockchain federated learning with sparsity for IoMT devices. - Abdoul Fatakhou Ba; Yingchi Mao; Abdullahi Uwaisu Muhammad; Omaji Samuel; Tasiu Muazu; Umar Muhammad Mustapha Kumshe (Clust. Comput., 2025)

Overcoming Forgetting Using Adaptive Federated Learning for IIoT Devices With Non-IID Data. - Benteng Zhang; Yingchi Mao; Haowen Xu; Yihan Chen; Tasiu Muazu; Xiaoming He; Jie Wu 001 (IEEE Internet Things J., 2025)