6 papers · 1 filter
Compositional Semantic Communication for Physical AI: Category Theory Meets Game Theory
Christo Kurisummoottil Thomas, Walid Saad, Emilio Calvanese Strinati
Physical artificial intelligence (AI) systems involve distributed sensing agents with embedded AI models that must coordinate to perceive, reason, and act in networked environments…
Resilience Characterization of AI-Native Wireless Receivers via Persistent Homology
Christo Kurisummoottil Thomas, Emilio Calvanese Strinati
AI-native wireless receivers based on deep learning exhibit remarkable performance under stationary channel conditions, yet their resilience to distributional shifts remains poorly…
Distributed Semantic Alignment over Interference Channels: A Game-Theoretic Approach
Giuseppe Di Poce, Mattia Merluzzi, Emilio Calvanese Strinati +1
Semantic communication acts as a key enabler for effective task execution in AI-driven systems, prioritizing the extraction of the underlying meaning before transmission. However,…
Federated Latent Space Alignment for Multi-user Semantic Communications
Giuseppe Di Poce, Mario Edoardo Pandolfo, Emilio Calvanese Strinati +1
Semantic communication aims to convey meaning for effective task execution, but differing latent representations in AI-native devices can cause semantic mismatches that hinder mutu…
Collaborative Edge Inference via Semantic Grouping under Wireless Channel Constraints
Mateus P. Mota, Mattia Merluzzi, Emilio Calvanese Strinati
In this paper, we study the framework of collaborative inference, or edge ensembles. This framework enables multiple edge devices to improve classification accuracy by exchanging i…
Joint Channel and Semantic-aware Grouping for Effective Collaborative Edge Inference
Mateus P. Mota, Mattia Merluzzi, Emilio Calvanese Strinati
We focus on collaborative edge inference over wireless, which enables multiple devices to cooperate to improve inference performance in the presence of corrupted data. Exploiting a…