Multi-agent deep reinforcement learning based incentive mechanism for multi-task federated edge learning

• المؤلفون الرئيسيون: Zhao, Nan, Pei, Yiyang, Liang, Ying-Chang, Niyato, Dusit
• مؤلفون آخرون: School of Computer Science and Engineering
• التنسيق: مقال
• اللغة: English
• منشور في: 2023
• الموضوعات: Engineering::Computer science and engineering; Federated Edge Learning; Incentive Mechanism
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/170795
• المؤسسة: Nanyang Technological University

Federated edge learning (FEL) is capable of training large-scale machine learning models without exposing the raw data of edge devices (EDs). Considering that the learning performance heavily depends on the active participation of EDs, it is essential to motivate the resource-limited EDs to contribu...