Edge-assisted U-Shaped Split Federated Learning with Privacy-preserving for Internet of Things

no code implementations • 8 Nov 2023 • Hengliang Tang, Zihang Zhao, Detian Liu, Yang Cao, Shiqiang Zhang, Siqing You

To address these challenges, we present an innovative Edge-assisted U-Shaped Split Federated Learning (EUSFL) framework, which harnesses the high-performance capabilities of edge servers to assist IoT devices in model training and optimization process.

Federated Learning Privacy Preserving

Rearrange Indoor Scenes for Human-Robot Co-Activity

no code implementations • 10 Mar 2023 • Weiqi Wang, Zihang Zhao, Ziyuan Jiao, Yixin Zhu, Song-Chun Zhu, Hangxin Liu

We present an optimization-based framework for rearranging indoor furniture to accommodate human-robot co-activities better.