MMDFL: Multi-Model-based Decentralized Federated Learning for Resource-Constrained AIoT Systems

Along with the prosperity of Artificial Intelligence (AI) techniques, more and more Artificial Intelligence of Things (AIoT) applications adopt Federated Learning (FL) to enable collaborative learning without compromising the privacy of devices. Since existing centralized FL methods suffer from the...

Full description

Bibliographic Details

Published in:	2025 62nd ACM/IEEE Design Automation Conference (DAC) pp. 1 - 7
Main Authors:	Yan, Dengke, Yang, Yanxin, Hu, Ming, Fu, Xin, Chen, Mingsong
Format:	Conference Proceeding
Language:	English
Published:	IEEE 22.06.2025
Subjects:	AIoT decentralized federated learning Faces Federated learning Internet of Things Knowledge engineering multi-model learning Peer-to-peer computing Performance evaluation Privacy resource-constrained Servers stochastic gradient descent Stochastic processes Training
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!