Best Paper Award from FL@FM-NeurIPS’23

We have received the best paper award from the International Workshop on Federated Learning in the Age of Foundation Models in Conjunction with NeurIPS 2023 (FL@FM-NeurIPS’23) for the following paper:

SLoRA: Federated Parameter Efficient Fine-Tuning of Language Models, co-authored with Sara Babakniya, Ahmed Elkordy, Yahya Ezzeldin, Qingeng Liu, Kee-Bong Song, and Mostafa El-Khamy.