Muhammed Ameen

According to our database, Muhammed Ameen authored at least 8 papers between 2021 and 2025.

Collaborative distances:

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

2025

Speed up Federated Unlearning With Temporary Local Models.

Muhammad Ameen, Pengfei Wang, Weijian Su, Xiaopeng Wei, Qiang Zhang

IEEE Trans. Sustain. Comput., 2025

Eliminating Poor-Quality Data Impacts from Multiple Participants with Federated Unlearning.

Pengfei Wang, Muhammad Ameen, Mingshu Zhao, Pai Liu, Qiang Zhang

Proceedings of the 33rd IEEE/ACM International Symposium on Quality of Service, 2025

2024

F2UL: Fairness-Aware Federated Unlearning for Data Trading.

Weijian Su, Pengfei Wang, Zhiyi Wang, Muhammad Ameen, Tiwei Tao, Xiangrong Tong, Qiang Zhang

IEEE Trans. Mob. Comput., December, 2024

Addressing unreliable local models in federated learning through unlearning.

Muhammad Ameen, Riaz Ullah Khan, Pengfei Wang, Sidra Batool, Masoud Alajmi

Neural Networks, 2024

Lightweight Federated Unlearning for IoT Sensing Systems.

Muhammad Ameen, Pengfei Wang

Proceedings of the 20th International Conference on Mobility, Sensing and Networking, 2024

2023

Federated Unlearning and Server Right to Forget: Handling Unreliable Client Contributions.

Hasin Bano, Muhammad Ameen, Muntazir Mehdi, Amaad Hussain, Pengfei Wang

Proceedings of the Recent Trends in Image Processing and Pattern Recognition, 2023

xEM: Explainable Entity Matching in Customer 360.

Sukriti Jaitly, Deepa Mariam George, Balaji Ganesan, Muhammed Ameen, Srinivas Pusapati

Proceedings of the 6th Joint International Conference on Data Science & Management of Data (10th ACM IKDD CODS and 28th COMAD), 2023

2021

Automated Evaluation of GNN Explanations with Neuro Symbolic Reasoning.

Vanya Bannihatti Kumar, Balaji Ganesan, Muhammed Ameen, Devbrat Sharma, Arvind Agarwal

Proceedings of the NeurIPS 2021 Competitions and Demonstrations Track, 2021