Dynamic edge association and resource allocation in self-organizing hierarchical federated learning networks

• المؤلفون الرئيسيون: Lim, Bryan Wei Yang, Ng, Jer Shyuan, Xiong, Zehui, Niyato, Dusit, Miao, Chunyan, Kim, Dong In
• مؤلفون آخرون: School of Computer Science and Engineering
• التنسيق: مقال
• اللغة: English
• منشور في: 2022
• الموضوعات: Engineering::Computer science and engineering; Federated Learning; Edge Intelligence
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/156039

Federated Learning (FL) is a promising privacy-preserving distributed machine learning paradigm. However, communication inefficiency remains the key bottleneck that impedes its large-scale implementation. Recently, hierarchical FL (HFL) has been proposed in which data owners, i.e., workers, can firs...