12 papers
From Passive Mirrors to Active Agents: Holonic Digital Twins for Physical AI over Networks
Christo Kurisummoottil Thomas, Omar Hashash, Walid Saad
Despite advances in artificial intelligence (AI) across multiple sectors, today's AI tools, including deep learning and generative AI, still fail when embedded into physical system…
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…
Active Inference as the Test-Time Scaling Law for Physical AI Agents
Omar Hashash, Christo Kurisummoottil Thomas, Walid Saad +3
In this paper, a novel test-time scaling law for physical artificial intelligence (AI) agents is introduced. This scaling law enables physical AI agents to reason with their world…
Dynamic Hypergame for Task Assignment in Multi-platform Mobile Crowdsensing Under Incomplete Information
Sumedh J. Dongare, Christo Kurisummoottil Thomas, Andrea Ortiz +2
Mobile crowdsensing (MCS) is a promising distributed sensing paradigm for future wireless networks, where MCS platforms (MCSPs) recruit mobile units (MUs) through monetary incentiv…
Towards Heterogeneous Quantum Federated Learning: Challenges and Solutions
Ratun Rahman, Dinh C. Nguyen, Christo Kurisummoottil Thomas +1
Quantum federated learning (QFL) combines quantum computing and federated learning to enable decentralized model training while maintaining data privacy. QFL can improve computatio…
Semantic Communication with Hopfield Memories
Karim Nasreddine, Christo Kurisummoottil Thomas, Walid Saad
Traditional joint source-channel coding employs static learned semantic representations that cannot dynamically adapt to evolving source distributions. Shared semantic memories bet…