Literature Database Entry

tao2026one-shot

Youming Tao, Weijun Yin, Huanyi Xie, Yanqing Yao, Dongxiao Yu, Xiuzhen Cheng, Di Wang and Falko Dressler, "One-Shot Federated Model Editing for Device Dynamics at the Edge," IEEE Transactions on Networking, 2026. (to appear)

Abstract

Standard federated learning (FL) requires persistent device connectivity across multiple communication rounds, making it unsuitable for dynamic environments such as vehicular networks, where devices frequently join and leave. One-shot FL offers a promising alternative by completing training in a single communication round. However, one-shot FL suffers from model solidification and cannot readily adapt to subsequent client dynamics, including new client contributions and the withdrawal of previous contributions. We therefore consider exact model editing, which removes withdrawn contributions through unlearning or incorporates newly contributed ones through incremental learning without retraining from scratch. We identify that efficient editing fundamentally hinges on learning stability. To this end, we propose F-SOSA, the first stable one-shot FL algorithm that enables rapid and exact model editing. F-SOSA leverages sub-sampling of local models with carefully tuned rate for stable aggregation and performs curvature-aware model fusion to preserve utility. We prove that F-SOSA achieves vanishing training error and reasonably small generalization error bounds. Building on this stability, we further develop two single-round editing algorithms: F-SOSA-U for unlearning and F-SOSA-I for incremental learning. They ensure that the edited model, along with all intermediate algorithmic states, is statistically indistinguishable from retraining while incurring only an expected O(ρ) fraction of its cost, where ρ quantifies stability. Experiments demonstrate that our approach matches retraining performance while reducing cumulative time and communication overhead by at least 36% and 22%, respectively, under realistic urban mobility simulations.

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Youming Tao
Weijun Yin
Huanyi Xie
Yanqing Yao
Dongxiao Yu
Xiuzhen Cheng
Di Wang
Falko Dressler

BibTeX reference

@article{tao2026one-shot,
    author = {Tao, Youming and Yin, Weijun and Xie, Huanyi and Yao, Yanqing and Yu, Dongxiao and Cheng, Xiuzhen and Wang, Di and Dressler, Falko},
    note = {to appear},
    title = {{One-Shot Federated Model Editing for Device Dynamics at the Edge}},
    journal = {IEEE Transactions on Networking},
    issn = {2998-4157},
    publisher = {IEEE},
    year = {2026},
   }
   
   

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Last modified: 2026-09-26