Giovanni Iacca

Evolving Plasticity for Autonomous Learning under Changing Environmental Conditions

2019 · University of Twente Research Information

A fundamental aspect of learning in biological neural networks is the plasticity property which allows them to modify their configurations during their lifetime. Hebbian learning is a biologically plausible mechanism for modeling the plasticity property …

2SSP: A Two-Stage Framework for Structured Pruning of LLMs

2025 · arXiv (Cornell University)

We propose a novel Two-Stage framework for Structured Pruning (\textsc{2SSP}) for pruning Large Language Models (LLMs), which combines two different strategies of pruning, namely Width and Depth Pruning. The first stage (Width Pruning) removes entire …

Proximity-Aware Federated Learning for Symbiotic Task Offloading in Vehicular-Edge Intelligence

2025 · IEEE Internet of Things Journal

Vehicular Edge Computing (VEC) is a key enabler of real-time intelligence in next-generation transportation systems. However, conventional Federated Learning (FL) in VEC typically depends on static edge-server aggregation, resulting in high communication overhead, increased latency, …