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Yu Qiao

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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. · 0 citations
Jul 2026

A VAE-Driven Multi-Task Satellite-Aided Semantic Communication Framework for 6G-Enabled Connected Autonomous Vehicles

This work presents a Variational Autoencoder (VAE)-based multi-task semantic communication framework for satellite-assisted autonomous driving that uses probabilistic latent representations for more robust and efficient encoding.

S. M. Abtahiul Alam, Niloy Das, Apurba Adhikary et al. · 0 citations

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