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20242026
most citedIntelligent Orchestration of Distributed Large Foundation Model Inference at the Edge

4 citations · 8 across the 17 of their papers we have counts for

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5 papers · 1 filter

eess.SP2024

R-MTLLMF: Resilient Multi-Task Large Language Model Fusion at the Wireless Edge

Aladin Djuhera, Vlad C. Andrei, Mohsen Pourghasemian +3

Multi-task large language models (MTLLMs) are important for many applications at the wireless edge, where users demand specialized models to handle multiple tasks efficiently. Howe…

cs.LG2024

SCoTT: Strategic Chain-of-Thought Tasking for Wireless-Aware Robot Navigation in Digital Twins

Aladin Djuhera, Amin Seffo, Vlad C. Andrei +2

Path planning under wireless performance constraints is a complex challenge in robot navigation. However, naively incorporating such constraints into classical planning algorithms…

cs.LG2024★ 3 cited

R-SFLLM: Jamming Resilient Framework for Split Federated Learning with Large Language Models

Aladin Djuhera, Vlad C. Andrei, Xinyang Li +3

Split federated learning (SFL) is a compute-efficient paradigm in distributed machine learning (ML), where components of large ML models are outsourced to remote servers. A signifi…

cs.IT2024

Resilient-By-Design Framework for MIMO-OFDM Communications under Smart Jamming

Vlad C. Andrei, Aladin Djuhera, Xinyang Li +3

Native jamming mitigation is essential for addressing security and resilience in future 6G wireless networks. In this paper a resilient-by-design framework for effective anti-jammi…

cs.IT2024★ 1 cited

An Analysis of Capacity-Distortion Trade-Offs in Memoryless ISAC Systems

Xinyang Li, Vlad C. Andrei, Aladin Djuhera +2

This manuscript investigates the information-theoretic limits of integrated sensing and communications (ISAC), aiming for simultaneous reliable communication and precise channel st…