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Sponsored AI Networking Cookbook: Practical recipes for AI-assisted network automation and development AI Networking Cookbook: Practical recipes for AI-assisted network automation and development

Author

Chuan Zhang

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2026

FedPriv: Personalized Differential Privacy in Federated Learning for Heterogeneous Data

With the widespread adoption of interactive, mobile, and wearable technologies, an increasing amount of privacy-sensitive and statistically heterogeneous sensor data is being continuously generated by ubiquitous user devices. Federated learning (FL) enables multiple parties to jointly train a machine-learning model whi...

Ming Jiang, Xu-Hao Ren, Xi-Xi Zheng et al. · 0 citations
Open access 2026

Fed-CBE: Client-Side Backdoor Elimination in Federated Learning via Persistent Parameter Disruption

Fed-CBE is proposed, a novel client-side defense algorithm that eliminates backdoors through three synergistic mechanisms: periodic alternating layer resetting disrupts deep parameters to dismantle cross-round backdoor accumulation, and indiscriminate forgetting employs entropy maximization on non-ground-truth classes...

Chun-Hai Li, Yun-Hui Shen, Ming Xie et al. · 0 citations

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