Kanishka Ranaweera

According to our database, Kanishka Ranaweera authored at least 7 papers between 2023 and 2025.

Collaborative distances:

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

2025

Enhancing Federated Learning Through Secure Cluster-Weighted Client Aggregation.

Kanishka Ranaweera, Azadeh Ghari Neiat, Xiao Liu, Bipasha Kashyap, Pubudu N. Pathirana

CoRR, March, 2025

Adaptive Clipping for Privacy-Preserving Few-Shot Learning: Enhancing Generalization with Limited Data.

Kanishka Ranaweera, Dinh C. Nguyen, Pubudu N. Pathirana, David B. Smith, Ming Ding, Thierry Rakotoarivelo, Aruna Seneviratne

CoRR, March, 2025

Multi-Objective Optimization for Privacy-Utility Balance in Differentially Private Federated Learning.

Kanishka Ranaweera, David B. Smith, Pubudu N. Pathirana, Ming Ding, Thierry Rakotoarivelo, Aruna Seneviratne

CoRR, March, 2025

Federated Learning with Differential Privacy: An Utility-Enhanced Approach.

Kanishka Ranaweera, Dinh C. Nguyen, Pubudu N. Pathirana, David B. Smith, Ming Ding, Thierry Rakotoarivelo, Aruna Seneviratne

CoRR, March, 2025

2024

Optimizing Diagnosis in Sparse Data Environments: A Model Agnostic Meta Learning Approach.

Kanishka Ranaweera, Pubudu N. Pathirana

Proceedings of the 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2024

Leveraging Vision Transformers for Enhanced Accuracy in Pneumonia Detection from Medical Imaging Data.

Kanishka Ranaweera, Pubudu N. Pathirana

Proceedings of the 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2024

2023

Improving the Utility of Differentially Private SGD by Employing Wavelet Transforms.

Kanishka Ranaweera, David B. Smith, Dinh C. Nguyen, Pubudu N. Pathirana, Ming Ding, Thierry Rakotoarivelo, Aruna Seneviratne

Proceedings of the IEEE International Conference on Big Data, 2023