Socialized Learning: A Survey of the Paradigm Shift for Edge Intelligence in Networked Systems

arXiv:2404.13348v1 Announce Type: cross
Abstract: Amidst the robust impetus from artificial intelligence (AI) and big data, edge intelligence (EI) has emerged as a nascent computing paradigm, synthesizing AI with edge computing (EC) to become an exemplary solution for unleashing the full potential of AI services. Nonetheless, challenges in communication costs, resource allocation, privacy, and security continue to constrain its proficiency in supporting services with diverse requirements. In response to these issues, this paper introduces socialized learning (SL) as a promising …

abstract ai services artificial artificial intelligence arxiv become big big data computing cs.lg cs.ni data edge edge computing edge intelligence exemplary intelligence paradigm robust services shift solution survey systems type