Ferdinand Kahenga-Ngongo

According to our database, Ferdinand Kahenga-Ngongo authored at least 10 papers between 2021 and 2025.

Collaborative distances:

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

2025

FedFusion: Federated Learning with Diversity- and Cluster-Aware Encoders for Robust Adaptation under Label Scarcity.

Ferdinand Kahenga, Antoine B. Bagula, Patrick Sello, Sajal K. Das

CoRR, September, 2025

FedFiTS: Fitness-Selected, Slotted Client Scheduling for Trustworthy Federated Learning in Healthcare AI.

Ferdinand Kahenga, Antoine B. Bagula, Sajal K. Das, Patrick Sello

CoRR, September, 2025

Federated and Split Learning with Frugal Labelling and Label Scarcity in Healthcare Datasets.

Patrick Sello, Antoine B. Bagula, Ferdinand Kahenga

Proceedings of the IEEE Symposium on Computers and Communications, 2025

SyndFL: Addressing Class Imbalance to Enhance Fairness in Healthcare Image Processing Through Syndicated Federated Learning.

Ferdinand Kahenga, Antoine B. Bagula, Sajal K. Das

Proceedings of the IEEE Symposium on Computers and Communications, 2025

2024

FedDAFL: Federated Transfer Learning with Domain Adaptation for Frugally Labeled Datasets.

Ferdinand Kahenga, Antoine B. Bagula, Sajal K. Das

Proceedings of the 2024 IEEE Global Communications Conference, 2024

2023

FedFaSt: Selective Federated Learning Using Fittest Parameters Aggregation and Slotted Clients Training.

Ferdinand Kahenga, Antoine B. Bagula, Sajal K. Das

Proceedings of the IEEE Global Communications Conference, 2023

2022

A Review of Federated Learning: Algorithms, Frameworks and Applications.

Lutho Ntantiso, Antoine B. Bagula, Olasupo Ajayi, Ferdinand Kahenga-Ngongo

Proceedings of the Towards new e-Infrastructure and e-Services for Developing Countries, 2022

Modelling DDoS Attacks in IoT Networks Using Machine Learning.

Pheeha Machaka, Olasupo Ajayi, Ferdinand Kahenga, Antoine B. Bagula, Kyandoghere Kyamakya

Proceedings of the Emerging Technologies for Developing Countries, 2022

Archiving 4.0: Dataset Generation and Facial Recognition of DRC Political Figures Using Machine Learning.

Ferdinand Kahenga-Ngongo, Antoine B. Bagula, Olasupo Ajayi

Proceedings of the Emerging Technologies for Developing Countries, 2022

2021

Modelling DDoS Attacks in IoT Networks using Machine Learning.

Pheeha Machaka, Olasupo Ajayi, Hloniphani Maluleke, Ferdinand Kahenga, Antoine B. Bagula, Kyandoghere Kyamakya

CoRR, 2021