Xiaoxiao Li

发表

Federated Adversarial Learning: A Framework with Convergence Analysis

Jiaming Yang, Zhao Song, Xiaoxiao Li, 2022, ICML.

Backdoor Attack and Defense in Federated Generative Adversarial Network-based Medical Image Synthesis

Xiaoxiao Li, Ruinan Jin, 2022, ArXiv.

Backdoor Attack and Defense in Federated Generative Adversarial Network-based Medical Image Synthesis

Xiaoxiao Li, Ruinan Jin, 2022, ArXiv.

F EDERATED L EARNING FROM O NLY U NLABELED D ATA WITH C LASS -C ONDITIONAL -S HARING C LIENTS

M. Sugiyama, Gang Niu, Nan Lu, 2022 .

Federated Virtual Learning on Heterogeneous Data with Local-global Distillation

Daguang Xu, Can Zhao, Rui Jin, 2023, ArXiv.

FedMT: Federated Learning with Mixed-type Labels

A. Talhouk, Gang Niu, Qiong Zhang, 2022, ArXiv.

Federated Virtual Learning on Heterogeneous Data with Local-global Distillation

Daguang Xu, Can Zhao, Rui Jin, 2023, ArXiv.

GRLC: Graph Representation Learning With Constraints.

J. Xu, Xiao-lan Zhu, Jialie Shen, 2023, IEEE transactions on neural networks and learning systems.

Forgettable Federated Linear Learning with Certified Data Removal

Qiong Zhang, Minghui Chen, Rui Jin, 2023, ArXiv.

Robust Split Federated Learning for U-shaped Medical Image Networks

Ziyuan Yang, Hui Wang, Yin Chen, 2022, ArXiv.

Federated Transfer Learning for Low-Dose PET Denoising: A Pilot Study With Simulated Heterogeneous Data

J. Duncan, Chi Liu, Bo Zhou, 2023, IEEE Transactions on Radiation and Plasma Medical Sciences.

UniFed: A Unified Framework for Federated Learning on Non-IID Image Features

Michael Kamp, Meirui Jiang, Xiaofei Zhang, 2021, 2110.09974.

FedSoup: Improving Generalization and Personalization in Federated Learning via Selective Model Interpolation

Xiaoxiao Li, Minghui Chen, Meirui Jiang, 2023, 2307.10507.

Backdoor Attack and Defense in Federated Generative Adversarial Network-based Medical Image Synthesis

Xiaoxiao Li, Ruinan Jin, 2022, Medical Image Anal..

Client-Level Differential Privacy via Adaptive Intermediary in Federated Medical Imaging

Meirui Jiang, Qianming Dou, Xiaoxiao Li, 2023, ArXiv.

A Dataset Auditing Method for Collaboratively Trained Machine Learning Models

Yangsibo Huang, Kai Li, Xiaoxiao Li, 2022, IEEE Transactions on Medical Imaging.

Scalable Data Point Valuation in Decentralized Learning

Konstantin D. Pandl, A. Sunyaev, Ivan Beschastnikh, 2023, ArXiv.

GMValuator: Similarity-based Data Valuation for Generative Models

Yangsibo Huang, Jiaxi Yang, Xiaoxiao Li, 2023, 2304.10701.

GMValuator: Similarity-based Data Valuation for Generative Models

Yangsibo Huang, Jiaxi Yang, Xiaoxiao Li, 2023, 2304.10701.