Personalized Heterogeneity-aware Federated Search Towards Better Accuracy and Energy Efficiency

Federated learning (FL), a new distributed technology, allows us to train the global model on the edge and embedded devices without local data sharing. However, due to the wide distribution of different types of devices, FL faces severe heterogeneity issues. The accuracy and efficiency of FL deploym...

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Veröffentlicht in:	2022 IEEE/ACM International Conference On Computer Aided Design (ICCAD) S. 1 - 9
Hauptverfasser:	Yang, Zhao, Sun, Qingshuang
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	ACM 29.10.2022
Schlagworte:	Adaptation models Computational modeling Data models Energy consumption energy efficiency Federated learning federated search heterogeneity-aware personalization Performance evaluation Process control Training
ISSN:	1558-2434
Online-Zugang:	Volltext
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