Li Ju

Li Ju
Uppsala University | UU · Department of Information Technology

Master of Science

About

9
Publications
422
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81
Citations
Introduction
I am working on distributed machine learning and federated machine learning on both algorithmic and engineering aspects.

Publications

Publications (9)
Preprint
Full-text available
Federated learning enables distributed training across a set of clients, without requiring any of the participants to reveal their private training data to a centralized entity or each other. Due to the nature of decentralized execution, federated learning is vulnerable to attacks from adversarial (Byzantine) clients by modifying the local updates...
Preprint
Full-text available
With the emergence of the Internet of Things and 5G technologies, the edge computing paradigm is playing increasingly important roles with better availability, latency-control and performance. However, existing autoscaling tools for edge computing applications do not utilize heterogeneous resources of edge systems efficiently, leaving scope for per...
Article
Full-text available
The fast identification and quantification of illicit drugs in bio-fluids are of great significance in clinic detection. However, existing drug detection strategies cannot fully meet clinic needs and the on-site identification and quantification of various illicit drugs in bio-fluids remains a great challenge. Here we report the development of a de...
Article
In this work, N-(aminobutyl)-N-(ethylisoluminol) (ABEI) functionalized graphene quantum dots (ABEI-GQDs) with excellent chemiluminescence (CL) and fluorescence (FL) properties were synthesized. Firstly, small 2-dimension graphene oxide (GO) was prepared by exfoliating and crushing graphite oxide in the presence of HNO3 and KMnO4. Then the size of s...
Article
Full-text available
Sensitive, specific, simple, fast, and low-cost DNA detection methods are extremely important in clinical diagnostics, gene therapy, and a variety of biomedical studies. In this work, we developed a general method for the detection of specific DNA sequences from Mycobacterium tuberculosis (TB), hepatitis B virus (HBV), and myelocytomatosis viral on...
Article
The measurement of the binding constant of specific interactions and concentration of a target is of considerable importance in clinical diagnosis, therapy, bioassays and drug design. The development of methods that combine high sensitivity with generalization and simplicity for the measurement of both binding constant and target concentration is h...

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Projects

Project (1)
Project
The aim of the project is to study and develop a customizable proactive autoscaler for edge computing systems with Kubernetes.