Efficient Online Decentralized Learning Framework for Social Internet of Things

Cheng Wei Ching, Hung Sheng Huang, Chun An Yang, Jian Jhih Kuo, Ren Hung Hwang

研究成果: Conference contribution同行評審

摘要

Online Decentralized Learning (ODL) is suitable for Internet-of-Things (IoT) devices since only parameter updates are exchanged with neighbors to avoid uploading private data to a central server and the training data is allowed to arrive at the devices sequentially. However, the current ODL frameworks cannot support the emerging Social IoT (SIoT) paradigm favorably since the SIoT devices exchange parameter updates with only trust-worthy neighbors based on specific social relations (e.g., parental object relation and ownership object relation). Conversely, sharing parameter updates with untrustworthy neighbors could speed up the training process but may violate social relations. Differential privacy (DP) is thus used to ensure data security while excessive devices engaging DP may downgrade the training performance. However, most research neglects the effect of neighbor selection for each device based on social networks, physical networks, and DP. Thus, in this paper, we innovate an ODL framework ODLF-PDP to allow only a part of devices to engage DP (i.e., partially DP) to improve training performance. Then, an algorithm BeTTa is proposed to build an adequate communication topology based on the interplay among the social networks, physical networks, and DP. Last, the experiment results manifest that ODLF-PDP saves more than 20% physical training time compared to the current frameworks via the benchmark of MNIST.

原文English
主出版物標題2021 IEEE Global Communications Conference, GLOBECOM 2021 - Proceedings
發行者Institute of Electrical and Electronics Engineers Inc.
ISBN(電子)9781728181042
DOIs
出版狀態Published - 2021
事件2021 IEEE Global Communications Conference, GLOBECOM 2021 - Madrid, Spain
持續時間: 7 12月 202111 12月 2021

出版系列

名字2021 IEEE Global Communications Conference, GLOBECOM 2021 - Proceedings

Conference

Conference2021 IEEE Global Communications Conference, GLOBECOM 2021
國家/地區Spain
城市Madrid
期間7/12/2111/12/21

指紋

深入研究「Efficient Online Decentralized Learning Framework for Social Internet of Things」主題。共同形成了獨特的指紋。

引用此