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Yingwen Chen

3 accepted papers

2025

Does One-shot Give the Best Shot? Mitigating Model Inconsistency in One-shot Federated Learning

ICML 2025poster

Turning the multi-round vanilla Federated Learning into one-shot FL (OFL) significantly reduces the communication burden and makes a big leap toward practical deployment. However, this work empirically and theoretically unravels that existing OFL falls into a garbage (inconsistent one-shot local mod…

2022

FedDC: Federated Learning With Non-IID Data via Local Drift Decoupling and Correction

CVPR 2022poster

Federated learning (FL) allows multiple clients to collectively train a high-performance global model without sharing their private data. However, the key challenge in federated learning is that the clients have significant statistical heterogeneity among their local data distributions, which would…

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