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

arXiv:2404.17766v1 Announce Type: new
Abstract: Big Artificial Intelligence (AI) models have emerged as a crucial element in various intelligent applications at the edge, such as voice assistants in smart homes and autonomous robotics in smart factories. Training big AI models, e.g., for personalized fine-tuning and continual model refinement, poses significant challenges to edge devices due to the inherent conflict between limited computing resources and intensive workload associated with training. Despite the constraints of on-device training, traditional approaches usually resort to …

abstract ai models applications artificial artificial intelligence arxiv assistants autonomous big collaborative computing continual cs.ai cs.dc cs.lg cs.ni edge edge computing element factories fine-tuning homes implementation intelligence intelligent networks personalized robotics smart smart homes the edge training type voice voice assistants wireless