Li Ju

PhD student at Department of Information Technology; Division of Scientific Computing

Telephone:: +46 18 471 54 11
E-mail:: li.ju@it.uu.se
Visiting address:: Hus 10, Regementsvägen 10
Postal address:: Box 337
751 05 UPPSALA

Download contact information for Li Ju at Department of Information Technology; Division of Scientific Computing

Keywords

cloud computing
distributed systems
federated machine learning
distributed machine learning

Biography

Publications

Selection of publications

Proactive Autoscaling for Edge Computing Systems with Kubernetes

Ju, Li; Singh, Prashant; Toor, Salman

2021
- DOI for Proactive Autoscaling for Edge Computing Systems with Kubernetes

Recent publications

All publications

Articles in journal

Accelerating Fair Federated Learning: Adaptive Federated Adam

Ju, Li; Zhang, Tianru; Toor, Salman; Hellander, Andreas

Part of IEEE Transactions on Machine Learning in Communications and Networking, p. 1017-1032, 2024
- DOI for Accelerating Fair Federated Learning: Adaptive Federated Adam
- Download full text (pdf) of Accelerating Fair Federated Learning: Adaptive Federated Adam
Federated learning for predicting compound mechanism of action based on image-data from cell painting

Ju, Li; Hellander, Andreas; Spjuth, Ola

Part of Artificial Intelligence in the Life Sciences, 2024
- DOI for Federated learning for predicting compound mechanism of action based on image-data from cell painting
- Download full text (pdf) of Federated learning for predicting compound mechanism of action based on image-data from cell painting

Conference papers

Blades: A Unified Benchmark Suite for Byzantine Attacks and Defenses in Federated Learning

Li, Shenghui; Ngai, Edith C. H.; Ye, Fanghua; Ju, Li et al.

Part of 2024 IEEE/ACM Ninth International Conference on Internet-of-Things Design and Implementation (IoTDI), p. 158-169, 2024
- DOI for Blades: A Unified Benchmark Suite for Byzantine Attacks and Defenses in Federated Learning
Demo Abstract: Blades: A Unified Benchmark Suite for Byzantine-Resilient in Federated Learning

Li, Shenghui; Ngait, Edith C. -H.; Ye, Fanghua; Ju, Li et al.

Part of 9TH ACM/IEEE CONFERENCE ON INTERNET OF THINGS DESIGN AND IMPLEMENTATION, IOTDI 2024, p. 229-230, 2024
- DOI for Demo Abstract: Blades: A Unified Benchmark Suite for Byzantine-Resilient in Federated Learning
Proactive Autoscaling for Edge Computing Systems with Kubernetes

Ju, Li; Singh, Prashant; Toor, Salman

2021
- DOI for Proactive Autoscaling for Edge Computing Systems with Kubernetes

Manuscripts (preprints)

InfoHier: Hierarchical Information Extraction via Encoding and Embedding

Zhang, Tianru; Ju, Li; Singh, Prashant; Toor, Salman