4 citations · 4 across the 3 of their papers we have counts for
3 papers
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…
SafeCOMM: A Study on Safety Degradation in Fine-Tuned Telecom Large Language Models
Aladin Djuhera, Swanand Ravindra Kadhe, Farhan Ahmed +4
Fine-tuning large language models (LLMs) on telecom datasets is a common practice to adapt general-purpose models to the telecom domain. However, little attention has been paid to…
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…