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Author

Jae-Min Lee

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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. · 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. · 0 citations
Conference Aug 2026

Towards Secure Blockchain-Based E-Wallets: A Performance and Security Evaluation

Blockchain-based e-wallet systems offer stronger auditability and tamper resistance than fully centralized architectures; however, the choice of consensus mechanism directly affects transaction performance. This paper presents a blockchain-based e-wallet application that employs AES and RSA to secure transaction data b...

Daffa Ilham Pramadhan, Ahmad Zainudin, Amang Sudarsono et al. · 0 citations
Conference Aug 2026

Blockchain-Based Secure Land Certificate Storage with Encryption and Digital Signatures

This paper presents a blockchain-based digital land certificate system designed to prevent forgery, data manipulation, and document duplication in conventional centralized land certificate management systems. The system adopts a four-layer architecture built on a six-node Hyperledger Besu network using the Istanbul Byz...

Mustafa Azam Irvani, Amang Sudarsono, Ahmad Zainudin et al. · 0 citations
Conference Jul 2026

Edge-AI Enabled Real-Time Multi-Camera Casualty Detection and Tracking for Military IoT

The advancement of military internet of things (IoT) surveillance demands real-time casualty detection across distributed camera networks under diverse environmental conditions. Traditional surveillance systems suffer from high latency, bandwidth inefficiency and unreliable cross-camera identity tracking, indicating th...

Sium Bin Noor, M. A. Dini, Jaemin Lee et al. · 0 citations

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