Author

George Retsinas

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#machine learning Preprint Oct 2026

Learning to See through Action: Predictive Curiosity for Robots

Humans and animals do not learn vision from a fixed set of data: they move, interact, and learn from the visual consequences of their actions. Motivated by this developmental view, we study whether robots can improve visual learning by actively collecting experience through curiosity-driven interaction. We introduce Dy...

Stelios Zarifis, P. Filntisis, George Retsinas et al. · 0 citations

#federated learning Nov 2026

FLEX: Flexible Federated Learning With Asynchronous Peer-to-Peer Communication and Adaptive Aggregation

In this paper, we introduce FLEX, a flexible federated learning (FL) scheme that combines peer-to-peer communication with asynchronous client updates, enabling clients to operate independently. We further propose a novel aggregation algorithm inspired by gradient-like updates, governed by two key parameters: (i) a simi...

C. Sad, D. Masouros, George Retsinas et al. · IEEE Transactions on Paralle... · 0 citations