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Author

Zhonghui Wu

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Open access Aug 2026

TAR-DT: A Trusted and Attack-Resilient Mechanism for Distributed DNN Training in Agentic Edge Intelligence

A trusted and attack-resilient mechanism for distributed DNN training that supports both data and model parallelism and leverages a blockchain-enabled infrastructure to ensure the tamper-resistant and auditable execution of security-critical operations is proposed.

Zhong-Hui Wu, Yun-Xiao Ma, Lu Lu et al. · 0 citations
Jul 2026

SeqFedRPC: Sequential Federated Learning With Regularized Parameter Clustering

This work proposes SeqFedRPC, a novel model decoupling based SFL framework with regularized parameter clustering, and employs a clustering‐based scheme to adaptively decouple the model parameters into shared and personalized subsets, thereby addressing the challenge of non‐IID data.

Peng Mao, Tian Du, Zhonghui Wu et al. · 0 citations

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