Author

Chang-Sun Shin

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Review Open access 2026

Non-IID Data Challenges in Federated Learning for Distributed Systems: A Systematic Review

: Federated learning is a distributed machine learning framework, that enhances privacy and security against malicious behavior, including data poisoning and model poisoning. Nevertheless, federated learning models tend to have worse performance than centralized models, particularly when the data is non-independent and...

Indra Kumari, Se-Hoon Jung, Chun-Bo Sim et al. · Computers, Materials & C... · 0 citations

Open access 2026

MAD-Based Update Filtering for Non-IID Federated Learning: Robustness Analysis Under Poisoning Attacks

A ablation indicates that removing MAD filtering substantially reduces class-balanced performance on HAM10000 under noise injection, and a diagnostic analysis shows that the cosine-distance signal separates benign and malicious updates strongly under noise injection but weakly under sign flipping.

Tae-Wook Kang, Ji-Woo Park, Chulyoung Park et al. · IEEE Access · 0 citations