Author

Vasileios Tsouvalas

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Preprint Jul 2026

AutoEncoder-Compressed Parallel Split Learning for Pre-trained Model Fine-Tuning

AE-PSL is proposed, a communication-efficient PSL framework that compresses intermediate activations and gradients using a lightweight AutoEncoder placed at the split layer and introduces a novel two-stage alignment mechanism, which adapts the AE to the pre-trained model's feature manifold and client-specific feature distributions before DFT.

Bas Meuwissen, Vasileios Tsouvalas, N. Meratnia · 1 citation