works on
channel state information 1foundation models 1low-rank adaptation 1masked autoencoders 1self-supervised learning 1

From the 1 of 1 linked paper with an AI index.

collaborators

1 paper

cs.NI2026

WALoMA: A Multitask Wireless Foundation Model via Adaptive Low-Rank Masked Autoencoders

Madi Makin, Asmaa Abdallah, Abdulkadir Celik +1

The paper introduces WALoMA, a multitask wireless foundation model that uses adaptive low-rank masked autoencoders to learn self-supervised representations of channel state informa…