DP2Guard is a proposed lightweight PPFL framework that combines gradient masking for privacy, hybrid anomaly detection via SVD and clustering for Byzantine robustness, trust-based adaptive aggregation, and blockchain logging for Industrial IoT.
Fl2dp: Privacy-preserving federated learning via differential privacy for artificial iot,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CR 1years
2025 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
DP2Guard: A Lightweight and Byzantine-Robust Privacy-Preserving Federated Learning Scheme for Industrial IoT
DP2Guard is a proposed lightweight PPFL framework that combines gradient masking for privacy, hybrid anomaly detection via SVD and clustering for Byzantine robustness, trust-based adaptive aggregation, and blockchain logging for Industrial IoT.