Author

Huy Q. Le

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Open access 2026

Toward Communication-Efficient Adversarial Federated Learning for Robust Edge Intelligence

Federated learning (FL) enables decentralized model training without sharing raw data but remains vulnerable to adversarial attacks and often suffers from performance degradation under non-IID data distributions. By analyzing vanilla knowledge distillation (VKD) and adversarial knowledge distillation (AKD), we observe...

Yu Qiao, Apurba Adhikary, Huy Q. Le et al. · IEEE Journal on Selected Are... · 0 citations

Preprint Aug 2026

Energy-Aware Compression-Computation Co-Adaptation for Latency Minimization in Multi-User Semantic Communication

A robust codec is proposed that effectively works under a diversity of compression rates and channel noise without re-training, while the greedy sub-carrier allocation lowers the communication time.

Loc X. Nguyen, Y. Park, Avi Deb Raha et al. · 0 citations

Review Sep 2026

Self-Evolving AI for Humanoids: Mechanisms, Safety, and Evaluation of Post-Deployment Self-Improvement

Humanoid robots are becoming an important part of embodied artificial intelligence, driven by advances in reinforcement learning for locomotion, world models for prediction, and vision-language-action models for general control. However, most of these systems remain static after deployment. A policy is trained offline...

Loc X. Nguyen, Avi Deb Raha, Huy Q. Le et al. · 1 citation