Jie Xu

Jie Xu

University of Miami

H-index: 36

North America-United States

About Jie Xu

Jie Xu, With an exceptional h-index of 36 and a recent h-index of 33 (since 2020), a distinguished researcher at University of Miami, specializes in the field of Federated Learning, Multi-Armed Bandits, Networked ML/AI Systems, Edge Computing, Wireless Communications.

His recent articles reflect a diverse array of research interests and contributions to the field:

Friends to help: Saving federated learning from client dropout

Accelerating Asynchronous Federated Learning Convergence via Opportunistic Mobile Relaying

FedMM: Federated Multi-Modal Learning with Modality Heterogeneity in Computational Pathology

CAFE: Carbon-Aware Federated Learning in Geographically Distributed Data Centers

Mobility-Assisted Federated Learning for Vehicular Edge Computing

On the local cache update rules in streaming federated learning

Client Clustering for Energy-Efficient Clustered Federated Learning in Wireless Networks

CPD 2023: The 6th International Workshop on Combining Physical and Data-Driven Knowledge in Ubiquitous Computing

Jie Xu Information

University

Position

Assistant Professor Electrical and Computer Engineering

Citations(all)

5285

Citations(since 2020)

4495

Cited By

2433

hIndex(all)

36

hIndex(since 2020)

33

i10Index(all)

69

i10Index(since 2020)

58

Email

University Profile Page

Google Scholar

Jie Xu Skills & Research Interests

Federated Learning

Multi-Armed Bandits

Networked ML/AI Systems

Edge Computing

Wireless Communications

Top articles of Jie Xu

Friends to help: Saving federated learning from client dropout

2024/4/14

Accelerating Asynchronous Federated Learning Convergence via Opportunistic Mobile Relaying

IEEE Transactions on Vehicular Technology

2024/4/1

FedMM: Federated Multi-Modal Learning with Modality Heterogeneity in Computational Pathology

arXiv preprint arXiv:2402.15858

2024/2/24

CAFE: Carbon-Aware Federated Learning in Geographically Distributed Data Centers

arXiv preprint arXiv:2311.03615

2023/11/6

Mobility-Assisted Federated Learning for Vehicular Edge Computing

2023/10/29

On the local cache update rules in streaming federated learning

IEEE internet of things journal

2023/10/25

Client Clustering for Energy-Efficient Clustered Federated Learning in Wireless Networks

2023/10/8

CPD 2023: The 6th International Workshop on Combining Physical and Data-Driven Knowledge in Ubiquitous Computing

2023/10/8

CrossVision: Real-time On-Camera Video Analysis via Common RoI Load Balancing

IEEE Transactions on Mobile Computing

2023/8/2

Adversarial group linear bandits and its application to collaborative edge inference

2023/5/17

E3Pose: Energy-Efficient Edge-assisted Multi-camera System for Multi-human 3D Pose Estimation

2023/5/9

Joint Client Assignment and UAV Route Planning for Indirect-Communication Federated Learning

arXiv preprint arXiv:2304.10744

2023/4/21

Accelerating hybrid federated learning convergence under partial participation

arXiv preprint arXiv:2304.05397

2023/4/10

Federated learning via indirect server-client communications

2023/3/22

Adaptive Data Stream Mining (DSM) Systems-Chapter 26

2023/1/1

Multicore Federated Learning for Mobile-Edge Computing Platforms

IEEE internet of things journal

2022/11/23

NeuE: Automated Neural Network Ensembles for Edge Intelligence

IEEE Transactions on Emerging Topics in Computing

2023/6/1

Automated customization of on-device inference for quality-of-experience enhancement

IEEE Transactions on Computers

2023/5

On the convergence of multi-server federated learning with overlapping area

IEEE Transactions on Mobile Computing

2022/8/18

See List of Professors in Jie Xu University(University of Miami)

Co-Authors

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