Author

I. G. J. E. Putra

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Conference Aug 2026

FedCWD: Confidence-Weighted Federated Knowledge Distillation for Heterogeneous IoT Edge Devices

Federated learning (FL) over heterogeneous IoT devices is hindered by two practical constraints: standard weightaveraging methods such as FedAvg require homogeneous model architectures across clients, and distillation-based alternatives such as FedDF depend on a labelled proxy dataset at the server. In this paper, we p...

M. Putra, I. G. J. E. Putra, Gabriel Avelino R. Sampedro et al. · International Conference on... · 0 citations

Conference Aug 2026

FedPurge: Byzantine-Robust Federated Aggregation via Cosine Filtering and Trusted-Subset Median for 6G Edge Intrusion Detection

Federated learning (FL) offers a compelling framework for collaborative intrusion detection across distributed 6G edge nodes without centralizing sensitive network traffic data. However, existing aggregation strategies remain vulnerable to poisoning attacks, particularly when malicious clients constitute a large fracti...

M. Putra, N. Karna, I. G. J. E. Putra et al. · International Conference on... · 0 citations