Yang Liu

发表

Advances and Open Problems in Federated Learning pdf

Richard Nock, Zaïd Harchaoui, David Evans, 2019, Found. Trends Mach. Learn..

Federated Learning

Yang Liu, Qiang Yang, Han Yu, 2019, Synthesis Lectures on Artificial Intelligence and Machine Learning.

Privacy-Preserving Deep Learning with SPDZ

C. Xing, Yang Liu, Shreya Sharma, 2019 .

SecureBoost: A Lossless Federated Learning Framework pdf

Qiang Yang, Kewei Cheng, Tao Fan, 2019, IEEE Intelligent Systems.

Towards Efficient Communications in Federated Learning: A Contemporary Survey

Yang Liu, Linqi Song, Zihao Zhao, 2022, 2208.01200.

Inspecting the Running Process of Horizontal Federated Learning via Visual Analytics

Yang Liu, Xiaojuan Ma, Tianjian Chen, 2021, IEEE Transactions on Visualization and Computer Graphics.

FedCVT: Semi-supervised Vertical Federated Learning with Cross-view Training

Yang Liu, Yan Kang, Xinle Liang, 2020, ACM Trans. Intell. Syst. Technol..

Backdoor attacks and defenses in feature-partitioned collaborative learning pdf

Tianjian Chen, Yang Liu, Zhihao Yi, 2020, ArXiv.

Privacy-preserving Federated Adversarial Domain Adaption over Feature Groups for Interpretability pdf

Qiang Yang, Yang Liu, Yan Kang, 2021, IEEE Transactions on Big Data.

Tackling Mavericks in Federated Learning via Adaptive Client Selection Strategy

Yang Liu, Stefanie Roos, L. Chen, 2021 .

Federated Machine Learning: Concept and Applications

Tianjian Chen, Yang Liu, Yongxin Tong, 2019 .

A Survey towards Federated Semi-supervised Learning

Yilun Jin, Yang Liu, Qiang Yang, 2020, ArXiv.

FATE: An Industrial Grade Platform for Collaborative Learning With Data Protection

Qiang Yang, Yang Liu, Qian Xu, 2021, J. Mach. Learn. Res..

Vertical Federated Learning

Yang Liu, Yan Kang, Tianyuan Zou, 2022, ArXiv.

A Sustainable Incentive Scheme for Federated Learning

Yang Liu, Tianjian Chen, Dusit Niyato, 2020, IEEE Intelligent Systems.

FedPD: A Federated Learning Framework With Adaptivity to Non-IID Data

Wotao Yin, Xinwei Zhang, Sairaj Dhople, 2020, IEEE Transactions on Signal Processing.

FedML: A Research Library and Benchmark for Federated Machine Learning pdf

Ramesh Raskar, Yang Liu, Xiaoyang Wang, 2020, ArXiv.

StarFL: Hybrid Federated Learning Architecture for Smart Urban Computing

Qiang Yang, Hongfeng Chai, Yongkai Zhou, 2021, ACM Trans. Intell. Syst. Technol..

A Secure Federated Transfer Learning Framework

Tianjian Chen, Yan Kang, Chaoping Xing, 2020, IEEE Intelligent Systems.

FedPD: A Federated Learning Framework with Optimal Rates and Adaptivity to Non-IID Data pdf

Wotao Yin, Mingyi Hong, Yang Liu, 2020, ArXiv.

A Fairness-aware Incentive Scheme for Federated Learning

Tianjian Chen, Dusit Niyato, Han Yu, 2020, AIES.

Privacy-preserving Heterogeneous Federated Transfer Learning

Han Yu, Ce Ju, Qiang Yang, 2019, 2019 IEEE International Conference on Big Data (Big Data).

Secure Federated Transfer Learning pdf

Yang Liu, Tianjian Chen, Qiang Yang, 2018, ArXiv.

A Communication Efficient Collaborative Learning Framework for Distributed Features

Yang Liu, Qiang Yang, Mingyi Hong, 2019 .

Secure and Efficient Federated Transfer Learning

Chaoping Xing, Yan Kang, Yang Liu, 2019, 2019 IEEE International Conference on Big Data (Big Data).

Federated learning for privacy-preserving AI

Tianjian Chen, Yang Liu, Qiang Yang, 2020, Commun. ACM.

A VCG-based Fair Incentive Mechanism for Federated Learning pdf

Han Yu, Siu-Ming Yiu, Mingshu Cong, 2020, ArXiv.

Defending Batch-Level Label Inference and Replacement Attacks in Vertical Federated Learning

Yang Liu, Yan Kang, Qian Yang, 2022, IEEE Transactions on Big Data.

Batch Label Inference and Replacement Attacks in Black-Boxed Vertical Federated Learning

Yang Liu, Yan Kang, Tianyuan Zou, 2021, 2112.05409.

Towards Efficient Communications in Federated Learning: A Contemporary Survey

Yang Liu, Linqi Song, Xinlei Chen, 2022, J. Frankl. Inst..

GTG-Shapley: Efficient and Accurate Participant Contribution Evaluation in Federated Learning pdf

Lizhen Cui, Zelei Liu, Yang Liu, 2021, ACM Trans. Intell. Syst. Technol..

Towards Utilizing Unlabeled Data in Federated Learning: A Survey and Prospective

Yang Liu, Qiang Yang, Yilun Jin, 2020, 2002.11545.

Efficient Federated Learning with Adaptive pdf

Wenbo Ding, Linqi Song, Yang Liu, 2021 .

Federated Machine Learning

Qiang Yang, Tianjian Chen, Yongxin Tong, 2019, ACM Trans. Intell. Syst. Technol..

FedXGBoost: Privacy-Preserving XGBoost for Federated Learning pdf

Sandra Hirche, Qingchen Liu, Yang Liu, 2021, ArXiv.

Defending Label Inference and Backdoor Attacks in Vertical Federated Learning pdf

Yang Liu, Yan Kang, Tianyuan Zou, 2021, ArXiv.

Federated Learning

Yang Liu, Qiang Yang, Han Yu, 2019, Synthesis Lectures on Artificial Intelligence and Machine Learning.

A Gamified Research Tool for Incentive Mechanism Design in Federated Learning

Yang Liu, Qiang Yang, Han Yu, 2020, Federated Learning.

Multimodal Federated Learning via Contrastive Representation Ensemble

Yang Liu, Jingjing Liu, Qiying Yu, 2023, ICLR.

FedGEMS: Federated Learning of Larger Server Models via Selective Knowledge Fusion pdf

Yanghua Xiao, Yang Liu, Jingwen Wu, 2021, ArXiv.

Eliminating Label Leakage in Tree-Based Vertical Federated Learning

Yang Liu, J. Liu, Hideaki Takahashi, 2023, ArXiv.

Mutual Information Regularization for Vertical Federated Learning

Yang Liu, Tianyuan Zou, Ya-Qin Zhang, 2023, ArXiv.

Fair and Explainable Dynamic Engagement of Crowd Workers

Tianjian Chen, Yang Liu, Han Yu, 2019, IJCAI.

Multi-Agent Visualization for Explaining Federated Learning

Tianjian Chen, Yang Liu, Han Yu, 2019, IJCAI.

FedML: A Research Library and Benchmark for Federated Machine Learning

Hongyi Wang, R. Raskar, M. Annavaram, 2020, ArXiv.

Vertical Federated Learning: Concepts, Advances, and Challenges

Yang Liu, Yan Kang, Tianyuan Zou, 2022, IEEE Transactions on Knowledge and Data Engineering.

Addressing the Challenges of Government Service Provision with AI

Chunyan Miao, Cyril Leung, Qiang Yang, 2020, AI Mag..

A VCG-based Fair Incentive Mechanism for Federated Learning

Yang Liu, S. Yiu, Han Yu, 2020, arXiv.org.

FedXGBoost: Privacy-Preserving XGBoost for Federated Learning

Yang Liu, S. Hirche, Quan Cai, 2021, ArXiv.