HADFL: Heterogeneity-aware Decentralized Federated Learning Framework

Federated learning (FL) supports training models on geographically distributed devices. However, traditional FL systems adopt a centralized synchronous strategy, putting high communication pressure and model generalization challenge. Existing optimizations on FL either fail to speedup training on he...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	2021 58th ACM/IEEE Design Automation Conference (DAC) S. 1 - 6
Hauptverfasser:	Cao, Jing, Lian, Zirui, Liu, Weihong, Zhu, Zongwei, Ji, Cheng
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 05.12.2021
Schlagworte:	Collaborative work Computational modeling Data models Design automation Distributed Training Federated Learning Heterogeneous Computing Heterogeneous networks Machine Learning Performance evaluation Training
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!