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Sponsored Artificial Intelligence: A Modern Approach, Global Edition Artificial Intelligence: A Modern Approach, Global Edition

Author

Wei-Zhi Meng

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2026

Dropout-Tolerant Privacy-Preserving Aggregation for Federated Mobile Crowdsensing

Federated Learning (FL) has emerged as a key enabler for privacy-preserving, decentralized sensing systems, giving rise to Federated Mobile Crowdsensing (F-MCS). A well-known bottleneck in such systems is the inefficiency of synchronous training, which stalls for all participants and is susceptible to stragglers in het...

Xiao-Di Wang, Yun-Wei Dong, Wei-Zhi Meng et al. · 1 citation
Oct 2026

PPT-AMA: Privacy Protection and Traceability Anonymous Mutual Authentication Protocol for Heterogeneous Vehicular Networks

The Internet of Vehicles (IoV), as a key component of smart cities, plays a pivotal role in vehicle coordination and intelligent transportation systems. However, with the rapid advancement of IoV technology, the growing threat of network attacks has heightened the demand for enhanced security and privacy protection. Ow...

Yong Wu, Bei Gong, Hao-Tian Zhu et al. · 0 citations
#graph neural networks Open access Oct 2026

Fed-MoSeC: A Federated Learning Framework for Cross-Modal Semantic Communication Systems in Mobile Networks

Semantic communication systems in mobile networks necessitate real-time collaborative updates of semantic encoders as a result of node mobility that induces semantic extraction drift. However, diversity within modal transmission content and heterogeneous encoder architectures, along with challenges such as imbalanced t...

Yushi Wang, Zheng-Xin Yu, Gu-Han Zheng et al. · 0 citations
Open access Jul 2026

BioZKFHE: Scalable Encrypted Biometric Identification via Verifiable Homomorphic Similarity Evaluation

BioZKFHE is presented, a framework for scalable encrypted biometric identification via verifiable homomorphic similarity evaluation that combines BGV homomorphic computation with committee-mediated proof opening/decryption and smart-contract verification of opened proof batches.

Rundong Xin, Taotao Wang, Xiaoxiao Wu et al. · 0 citations

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