Search Results for author: Bingyan Liu

Found 4 papers, 3 papers with code

DistFL: Distribution-aware Federated Learning for Mobile Scenarios

1 code implementation22 Oct 2021 Bingyan Liu, Yifeng Cai, Ziqi Zhang, Yuanchun Li, Leye Wang, Ding Li, Yao Guo, Xiangqun Chen

Previous studies focus on the "symptoms" directly, as they try to improve the accuracy or detect possible attacks by adding extra steps to conventional FL models.

Federated Learning

ModelDiff: Testing-Based DNN Similarity Comparison for Model Reuse Detection

1 code implementation11 Jun 2021 Yuanchun Li, Ziqi Zhang, Bingyan Liu, Ziyue Yang, Yunxin Liu

The knowledge of a deep learning model may be transferred to a student model, leading to intellectual property infringement or vulnerability propagation.

Model Compression Transfer Learning

TransTailor: Pruning the Pre-trained Model for Improved Transfer Learning

no code implementations2 Mar 2021 Bingyan Liu, Yifeng Cai, Yao Guo, Xiangqun Chen

This paper aims to improve the transfer performance from another angle - in addition to tuning the weights, we tune the structure of pre-trained models, in order to better match the target task.

Transfer Learning

PFA: Privacy-preserving Federated Adaptation for Effective Model Personalization

1 code implementation2 Mar 2021 Bingyan Liu, Yao Guo, Xiangqun Chen

Based on the grouping results, PFA conducts an FL process in a group-wise way on the federated model to accomplish the adaptation.

Federated Learning

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