Galaxy: A Resource-Efficient Collaborative Edge AI System for In-situ Transformer Inference

no code implementations • 27 May 2024 • Shengyuan Ye, Jiangsu Du, Liekang Zeng, Wenzhong Ou, Xiaowen Chu, Yutong Lu, Xu Chen

Transformer-based models have unlocked a plethora of powerful intelligent applications at the edge, such as voice assistant in smart home.

Implementation of Big AI Models for Wireless Networks with Collaborative Edge Computing

no code implementations • 27 Apr 2024 • Liekang Zeng, Shengyuan Ye, Xu Chen, Yang Yang

Motivated by this, in this article, we propose collaborative edge training, a novel training mechanism that orchestrates a group of trusted edge devices as a resource pool for expedited, sustainable big AI model training at the edge.

Edge-computing Scheduling