Sustain the Smartness: From Smart Things to Sustainable Smart Things

被引：0

作者：

Suri, Samdyuti ^{[1
]}

Das, Sankar Narayan ^{[1
]}

Dey, Kuntal ^{[1
]}

Singi, Kapil ^{[1
]}

Sharma, Vibhu Saujanya ^{[1
]}

Kaulgud, Vikrant ^{[1
]}

机构：

[1] Accenture Tech Labs, Bangalore, India

来源：

2023 IEEE/ACM 7TH INTERNATIONAL WORKSHOP ON GREEN AND SUSTAINABLE SOFTWARE, GREENS | 2023年

关键词：

production ML; retraining; sustainability; multi-armed bandits;

D O I：

10.1109/GREENS59328.2023.00013

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

Retraining is an essential process for the sustainability of any production Machine Learning (ML) model and/or any software with ML based components, as retraining addresses the problem of data shift. However, uncertainty from different sources makes the successful retraining a challenging task. Here, we provide an outline of a multi-armed bandit based decision framework, which can address the uncertainty related to a retraining framework of any production ML model.

引用

页码：38 / 39

页数：2

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