Beyond the Cloud: Federated Learning and Edge AI for the Next Decade  

作　　者：Sooraj George Thomas Praveen Kumar Myakala Sooraj George Thomas;Praveen Kumar Myakala(Independent Researcher, Austin, Texas, USA;Independent Researcher, Dallas, Texas, USA)

机构地区：[1]Independent Researcher, Austin, Texas, USA [2]Independent Researcher, Dallas, Texas, USA

出　　处：《Journal of Computer and Communications》2025年第2期37-50,共14页电脑和通信(英文)

摘　　要：As AI systems scale, the limitations of cloud-based architectures, including latency, bandwidth, and privacy concerns, demand decentralized alternatives. Federated learning (FL) and Edge AI provide a paradigm shift by combining privacy preserving training with efficient, on device computation. This paper introduces a cutting-edge FL-edge integration framework, achieving a 10% to 15% increase in model accuracy and reducing communication costs by 25% in heterogeneous environments. Blockchain based secure aggregation ensures robust and tamper-proof model updates, while exploratory quantum AI techniques enhance computational efficiency. By addressing key challenges such as device variability and non-IID data, this work sets the stage for the next generation of adaptive, privacy-first AI systems, with applications in IoT, healthcare, and autonomous systems.As AI systems scale, the limitations of cloud-based architectures, including latency, bandwidth, and privacy concerns, demand decentralized alternatives. Federated learning (FL) and Edge AI provide a paradigm shift by combining privacy preserving training with efficient, on device computation. This paper introduces a cutting-edge FL-edge integration framework, achieving a 10% to 15% increase in model accuracy and reducing communication costs by 25% in heterogeneous environments. Blockchain based secure aggregation ensures robust and tamper-proof model updates, while exploratory quantum AI techniques enhance computational efficiency. By addressing key challenges such as device variability and non-IID data, this work sets the stage for the next generation of adaptive, privacy-first AI systems, with applications in IoT, healthcare, and autonomous systems.

关 键 词：Federated Learning Edge AI Decentralized Computing Privacy-Preserving AI Blockchain Quantum AI 

分 类 号：P20[天文地球—测绘科学与技术]