3 papers
cs.CY2026
Asymmetric Communication: Large Language Models and Language Games
Enzo Fenoglio
Contemporary AI discourse attributes to language models properties they cannot bear: general intelligence as substrate-independent cognition, hallucination as cognitive failure, ag…
cs.CR2026
Auditable Session Admission for Cross-Silo Federated Learning
Enzo Fenoglio, Philip Treleaven
Cross-silo federated learning keeps raw data local, but deployments frequently stall on a practical bottleneck when deciding who may invoke which session-scoped operations across o…
cs.CR2026
Federated Computing as Code (FCaC): Sovereignty-aware Systems by Design
Enzo Fenoglio, Philip Treleaven
Federated computing (FC) enables collaborative computation such as machine learning, analytics, or data processing across distributed organizations keeping raw data local. Built on…