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Chau-Wai Wong

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Conference Sep 2026

VAHANA: Hardware-Aware Noise Addition Against Gradient Inversion Attacks

Federated learning (FL) enables clients to collaboratively train a global model by sharing gradient updates instead of raw data. However, recent studies show that these shared gradients can be exploited to reconstruct private training data through gradient inversion attacks, posing a serious threat to client privacy. A...

Arsalan Ali Malik, Digvijay Anand, Chau-Wai Wong et al. · 0 citations
Open access Jul 2026

Automating Content Analysis With Multiple LLM Agents: Impacts of Agent Attributes and Human–AI Collaboration

Examination of the impact of agent diversity, agent open-mindedness, and human–AI collaboration (HAIC) in a multi-LLM-agent system for automated content analysis demonstrates reliable and accurate measurement of four communication variables across three datasets, with improved performance following agent discussion.

Xinyan Zhao, Chengshuai Zhao, Mordecai Mengesteab et al. · 0 citations

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