Author

Zhengqi Wen

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2026

FLADD: Federated Learning-Based Privacy Protection for Audio Deepfake Detection

Current research on Audio Deepfake Detection (ADD) mainly relies on centralized training paradigms, while paying limited attention to privacy preservation under data localization regulations or user-consent constraints. In real-world scenarios, centralized data sharing may expose sensitive user information and hinder t...

Cunhang Fan, Zhi-Qiang Tang, Jun Xue et al. · IEEE Transactions on Audio,... · 0 citations

Jul 2026

SEED: Self-Evolving On-Policy Distillation for Agentic Reinforcement Learning

SEED (SElf-Evolving On-Policy Distillation), a self-evolving framework that converts completed on-policy trajectories into training-time hindsight skills and distills their behavioral effect back into the policy model, is proposed.

Jinyang Wu, Shuo Yang, Zhengxi Lu et al. · arXiv.org · 7 citations