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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Vydané v:	2022 IEEE/ACM International Conference On Computer Aided Design (ICCAD) s. 1 - 9
Hlavní autori:	Yang, Zhao, Sun, Qingshuang
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	ACM 29.10.2022
Predmet:	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
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