activity
20242026
most citedR-SFLLM: Jamming Resilient Framework for Split Federated Learning with Large Language Models

3 citations · 5 across the 25 of their papers we have counts for

collaborators
Showing 2024 · eess.SPShow all

2 papers · 2 filters

eess.SP2024

Deep-Unrolling Multidimensional Harmonic Retrieval Algorithms on Neuromorphic Hardware

Vlad C. Andrei, Alexandru P. Drăguţoiu, Gabriel Béna +5

This paper explores the potential of conversion-based neuromorphic algorithms for highly accurate and energy-efficient single-snapshot multidimensional harmonic retrieval (MHR). By…

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…