Layer-wise Update Aggregation with Recycling for Communication-Efficient Federated Learning
NeurIPS, 2025
This study proposes a communication-efficient update recycling method for scalable federated learning.
BibTeX
@article{kim2026layer,
title={Layer-wise Update Aggregation with Recycling for Communication-Efficient Federated Learning},
author={Kim, Jisoo and Kang, Sungmin and Lee, Sunwoo},
journal={Advances in Neural Information Processing Systems},
volume={38},
pages={86242--86273},
year={2026}
}