William Marfo

According to our database, William Marfo authored at least 10 papers between 2022 and 2025.

Collaborative distances:

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

2025

Reducing Communication Overhead in Federated Learning for Network Anomaly Detection with Adaptive Client Selection.

William Marfo, Deepak K. Tosh, Shirley V. Moore, Joshua Suetterlein, Joseph B. Manzano

CoRR, March, 2025

Federated Learning for Efficient Condition Monitoring and Anomaly Detection in Industrial Cyber-Physical Systems.

William Marfo, Deepak K. Tosh, Shirley V. Moore

Proceedings of the International Conference on Computing, Networking and Communications, 2025

Adaptive Client Selection in Federated Learning: A Network Anomaly Detection Use Case.

William Marfo, Deepak K. Tosh, Shirley V. Moore

Proceedings of the International Conference on Computing, Networking and Communications, 2025

Efficient Client Selection in Federated Learning.

William Marfo, Deepak K. Tosh, Shirley V. Moore

Proceedings of the 22nd IEEE Consumer Communications & Networking Conference, 2025

Network Anomaly Detection in Distributed Edge Computing Infrastructure.

William Marfo, Enrique A. Rico, Deepak K. Tosh, Shirley V. Moore

Proceedings of the 22nd IEEE Consumer Communications & Networking Conference, 2025

2024

Detecting Masquerade Attacks in Controller Area Networks Using Graph Machine Learning.

William Marfo, Pablo Moriano, Deepak K. Tosh, Shirley V. Moore

CoRR, 2024

Enhancing Network Anomaly Detection Using Graph Neural Networks.

William Marfo, Deepak K. Tosh, Shirley V. Moore

Proceedings of the 22nd Mediterranean Communication and Computer Networking Conference, 2024

2023

Adversarial Sampling for Fairness Testing in Deep Neural Network.

Tosin Ige, William Marfo, Justin Tonkinson, Sikiru Adewale, Bolanle Hafiz Matti

CoRR, 2023

2022

Condition monitoring and anomaly detection in cyber-physical systems.

William Marfo, Deepak K. Tosh, Shirley V. Moore

Proceedings of the 17th Annual System of Systems Engineering Conference, 2022

Network Anomaly Detection Using Federated Learning.

William Marfo, Deepak K. Tosh, Shirley V. Moore

Proceedings of the IEEE Military Communications Conference, 2022