PracMHBench: Re-evaluating Model-Heterogeneous Federated Learning Based on Practical Edge Device Constraints

Federating heterogeneous models on edge devices with diverse resource constraints has been a notable trend in recent years. Compared to traditional federated learning (FL) that assumes an identical model architecture to cooperate, model-heterogeneous FL is more practical and flexible since the model...

Full description

Bibliographic Details

Published in:	2025 62nd ACM/IEEE Design Automation Conference (DAC) pp. 1 - 7
Main Authors:	Guo, Yuanchun, Liu, Bingyan, Sha, Yulong, Xian, Zhensheng
Format:	Conference Proceeding
Language:	English
Published:	IEEE 22.06.2025
Subjects:	Analytical models Classification algorithms Data models Design automation Federated learning Model Heterogeneity Performance evaluation Platform Statistical analysis
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!