C2A: Client-Customized Adaptation for Parameter-Efficient Federated Learning

Yeachan Kim, Junho Kim, Wing-Lam Mok +2

Despite the versatility of pre-trained language models (PLMs) across domains, their large memory footprints pose significant challenges in federated learning (FL), where the traini…