3 papers
eess.SP2026
Against the Monolithic Wireless World Model: Why NextG Needs Composable and Agentic Intelligence
Aladin Djuhera, Farhan Ahmed, Vlad C. Andrei +4
AI-native 6G visions increasingly invoke wireless foundation models, large multimodal models, and wireless world models as the natural endpoint of AI-native networking, drawing an…
cs.DC2025
Joint Partitioning and Placement of Foundation Models for Real-Time Edge AI
Aladin Djuhera, Fernando Koch, Alecio Binotto
Inference over large-scale foundation models within heterogeneous edge environments necessitates a fundamentally reconfigurable orchestration substrate. Static partitioning of mode…
cs.DC2025
Intelligent Orchestration of Distributed Large Foundation Model Inference at the Edge
Fernando Koch, Aladin Djuhera, Alecio Binotto
Large Foundation Models (LFMs), including multi-modal and generative models, promise to unlock new capabilities for next-generation Edge AI applications. However, performing infere…