Author

Athanasios V. Vasilakos

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#federated learning Nov 2026

Transmission-Efficient Federated Learning via Chessboard Convolutional Kernel

Reducing the communication cost to alleviate the contradiction between the limited bandwidth and huge transmitted parameters in Federated Learning (FL) is a persisting challenge. Since the transmission parameters obtained by vanilla convolution primarily rely on the product of kernel and channels, recent works (e.g., F...

Wei Li, Wen-Hao Li, Chao Ma et al. · IEEE Transactions on Mobile... · 0 citations

Open access 2026

Quantum-KIP: Kernel Inducing Points for Quantum Privacy

We introduce Quantum-KIP, a method that compresses a training set into a small set of kernel inducing points with soft labels. It uses a quantum feature map to compute state-fidelity overlaps and relies only on forward evaluations, avoiding backpropagation through quantum circuits. We provide a compression-induced stab...

Baobao Song, Shiva Raj Pokhrel, Athanasios V. Vasilakos et al. · IEEE Transactions on Informa... · 0 citations

Review Aug 2026

AI-powered medicinal chemistry and translational drug development.

This review examines how machine learning, deep learning, natural language processing (NLP), and generative modeling are being applied across medicinal chemistry and drug development, and highlights how multimodal data fusion, predictive modeling, and human-AI collaborative frameworks are supporting more informed decis...

Kaicheng U, Sophia Meixuan Zhang, Ziyu Yu et al. · Chemical Society Reviews · 0 citations