collaborators

7 papers

cs.DC2026

Democratizing LLM Training with the Edge: Challenges, Systems, and the Road Ahead

Ziyue Luo, Jiaxuan Cai, Cedric LeDenmat +27

The growing computational power of modern GPU data centers has let a few industrial giants train and deploy large language models (LLMs) on massive amounts of data. Yet the sheer s…

eess.SP2026

ALF: Spectrally Anchored Latent Flow Matching for Wireless Signal Generation

Yiyang Li, Sai Shankar Narasimhan, Priam Alataris +3

Wireless time-series generation is useful for emerging applications that will drive the adoption and integration of machine learning tasks within next-generation networks, such as…

eess.SY2026

O-DSS: An Open Dynamic Spectrum Sharing Framework for Cellular-Radar Coexistence in Mid-band Frequencies

Azuka Chiejina, Divyadharshini Muruganandham, Vini Chaudhary +2

The growing demand for mid-band spectrum necessitates efficient Dynamic Spectrum Sharing (DSS) to ensure coexistence between cellular networks and incumbent radar systems. Existing…

cs.NI2025

Dynamic Adaptive Federated Learning for mmWave Sector Selection

Lucas Pacheco, Torsten Braun, Kaushik Chowdhury +3

Beamforming techniques use massive antenna arrays to formulate narrow Line-of-Sight signal sectors to address the increased signal attenuation in millimeter Wave (mmWave). However,…

quant-ph2025

Q-REACH: Quantum information Repetition, Error Analysis and Correction using Caching Network

Karl C. Linne, Yuanyuan Li, Debashri Roy +1

Quantum repeaters incorporating quantum memory play a pivotal role in mitigating loss in transmitted quantum information (photons) due to link attenuation over a long-distance quan…

eess.SP2025

Lightweight Graph Neural Networks for Enhanced 5G NR Channel Estimation

Sajedeh Norouzi, Mostafa Rahmani, Yi Chu +3

Effective channel estimation CE is critical for optimizing the performance of 5G New Radio NR systems particularly in dynamic environments where traditional methods struggle with c…

eess.SP2025

Secure Multi-Hop Relaying in Large-Scale Space-Air-Ground-Sea Integrated Networks

Hyeonsu Lyu, Hyeonho Noh, Hyun Jong Yang +1

As a key enabler of borderless and ubiquitous connectivity, space-air-ground-sea integrated networks (SAGSINs) are expected to be a cornerstone of 6G wireless communications. Howev…