165 citations · 630 across the 23 of their papers we have counts for
10 papers · 1 filter
Feature-context driven Federated Meta-Learning for Rare Disease Prediction
Bingyang Chen, Tao Chen, Xingjie Zeng +5
Millions of patients suffer from rare diseases around the world. However, the samples of rare diseases are much smaller than those of common diseases. In addition, due to the sensi…
Software Engineering for Responsible AI: An Empirical Study and Operationalised Patterns
Qinghua Lu, Liming Zhu, Xiwei Xu +3
Although artificial intelligence (AI) is solving real-world challenges and transforming industries, there are serious concerns about its ability to behave and make decisions in a r…
Defining Blockchain Governance Principles: A Comprehensive Framework
Yue Liu, Qinghua Lu, Guangsheng Yu +2
Blockchain eliminates the need for trusted third-party intermediaries in business by enabling decentralised architecture design in software applications. However, the vulnerabiliti…
Blockchain-based Trustworthy Federated Learning Architecture
Sin Kit Lo, Yue Liu, Qinghua Lu +4
Federated learning is an emerging privacy-preserving AI technique where clients (i.e., organisations or devices) train models locally and formulate a global model based on the loca…
FLRA: A Reference Architecture for Federated Learning Systems
Sin Kit Lo, Qinghua Lu, Hye-Young Paik +1
Federated learning is an emerging machine learning paradigm that enables multiple devices to train models locally and formulate a global model, without sharing the clients' local d…
AI and Ethics -- Operationalising Responsible AI
Liming Zhu, Xiwei Xu, Qinghua Lu +2
In the last few years, AI continues demonstrating its positive impact on society while sometimes with ethically questionable consequences. Building and maintaining public trust in…
A Systematic Literature Review on Blockchain Governance
Yue Liu, Qinghua Lu, Liming Zhu +2
Blockchain has been increasingly used as a software component to enable decentralisation in software architecture for a variety of applications. Blockchain governance has received…
A Survey on Federated Learning and its Applications for Accelerating Industrial Internet of Things
Jiehan Zhou, Shouhua Zhang, Qinghua Lu +7
Federated learning (FL) brings collaborative intelligence into industries without centralized training data to accelerate the process of Industry 4.0 on the edge computing level. F…
Patterns for Blockchain-Based Payment Applications
Qinghua Lu, Xiwei Xu, H. M. N. Dilum Bandara +2
As the killer application of blockchain technology, blockchain-based payments have attracted extensive attention ranging from hobbyists to corporates to regulatory bodies. Blockcha…
Architectural Patterns for the Design of Federated Learning Systems
Sin Kit Lo, Qinghua Lu, Liming Zhu +3
Federated learning has received fast-growing interests from academia and industry to tackle the challenges of data hungriness and privacy in machine learning. A federated learning…