Work

AIoT-driven federated meta-reinforcement learning for energy-aware task orchestration in large-scale edge–cloud cyber-physical systems

Year: 2026

Type: article

Source: Internet of Things

DOI: 10.1016/j.iot.2026.102104

Authors: Mehdi Hosseinzadeh, Tofan Agung Eka Prasetya, Kholoud Alkayid, Farhad Soleimanian Gharehchopogh, Ramin Abbaszadi, Parisa Khoshvaght, Aso Darwesh, Thantrira Porntaveetus, Sadia Din

Institutions: Duy Tan University, Universitas Airlangga, Macquarie University, Al-Ahliyya Amman University, Islamic Azad University of Urmia, Ostim Technical University, Western Caspian University, Saveetha University, Chitkara University, Chulalongkorn University, Gachon University

Language: English

Topic: IoT and Edge/Fog Computing

Subfield: Computer Networks and Communications

Field: Computer Science

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: closed

Funder: Lembaga Pengelola Dana Pendidikan

OpenAlex ID: W7213549415

FWCI:

Cites: 41

Cited by:

Related to: 10