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Software Engineering for Responsible AI: An Empirical Study and Operationalised Patterns

Nov 18, 2021
Qinghua Lu, Liming Zhu, Xiwei Xu, Jon Whittle, David Douglas, Conrad Sanderson

* Submitted to ICSE SEIP 2022 

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Blockchain-based Trustworthy Federated Learning Architecture

Aug 16, 2021
Sin Kit Lo, Yue Liu, Qinghua Lu, Chen Wang, Xiwei Xu, Hye-Young Paik, Liming Zhu

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FLRA: A Reference Architecture for Federated Learning Systems

Jun 22, 2021
Sin Kit Lo, Qinghua Lu, Hye-Young Paik, Liming Zhu

* Accepted by ECSA 2021 

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AI and Ethics -- Operationalising Responsible AI

May 19, 2021
Liming Zhu, Xiwei Xu, Qinghua Lu, Guido Governatori, Jon Whittle

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A Survey on Federated Learning and its Applications for Accelerating Industrial Internet of Things

Apr 21, 2021
Jiehan Zhou, Shouhua Zhang, Qinghua Lu, Wenbin Dai, Min Chen, Xin Liu, Susanna Pirttikangas, Yang Shi, Weishan Zhang, Enrique Herrera-Viedma

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Architectural Patterns for the Design of Federated Learning Systems

Jan 07, 2021
Sin Kit Lo, Qinghua Lu, Liming Zhu, Hye-young Paik, Xiwei Xu, Chen Wang

* Submitted to Elsevier's Journal of Systems and Software, Special issue on Software Architecture and Artificial Intelligence 

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Cooperative Heterogeneous Deep Reinforcement Learning

Nov 02, 2020
Han Zheng, Pengfei Wei, Jing Jiang, Guodong Long, Qinghua Lu, Chengqi Zhang

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Dynamic Fusion based Federated Learning for COVID-19 Detection

Sep 26, 2020
Weishan Zhang, Tao Zhou, Qinghua Lu, Xiao Wang, Chunsheng Zhu, Haoyun Sun, Zhipeng Wang, Sin Kit Lo, Fei-Yue Wang

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A Systematic Literature Review on Federated Machine Learning: From A Software Engineering Perspective

Jul 27, 2020
Sin Kit Lo, Qinghua Lu, Chen Wang, Hye-Young Paik, Liming Zhu

* Submitted to ACM CSUR on 27 Jul 2020 

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