5 papers
Communication Efficient Split Learning of ViTs with Attention-based Double Compression
Federico Alvetreti, Jary Pomponi, Paolo Di Lorenzo +1
This paper proposes a novel communication-efficient Split Learning (SL) framework, named Attention-based Double Compression (ADC), which reduces the communication overhead required…
Interpretable Classification of Levantine Ceramic Thin Sections via Neural Networks
Sara Capriotti, Alessio Devoto, Simone Scardapane +2
Classification of ceramic thin sections is fundamental for understanding ancient pottery production techniques, provenance, and trade networks. Although effective, traditional petr…
Adaptive Semantic Token Communication for Transformer-based Edge Inference
Alessio Devoto, Jary Pomponi, Mattia Merluzzi +2
This paper presents an adaptive framework for edge inference based on a dynamically configurable transformer-powered deep joint source channel coding (DJSCC) architecture. Motivate…
Q-Filters: Leveraging QK Geometry for Efficient KV Cache Compression
Nathan Godey, Alessio Devoto, Yu Zhao +4
Autoregressive language models rely on a Key-Value (KV) Cache, which avoids re-computing past hidden states during generation, making it faster. As model sizes and context lengths…
Goal-oriented Communications based on Recursive Early Exit Neural Networks
Jary Pomponi, Mattia Merluzzi, Alessio Devoto +3
This paper presents a novel framework for goal-oriented semantic communications leveraging recursive early exit models. The proposed approach is built on two key components. First,…