Jun Luo

PhD student, University of Pittsburgh

Joined

September 2021

Names

Jun Luo (Preferred)

Emails

****@pitt.edu (Confirmed)

Personal Links

Career & Education History

PhD student

University of Pittsburgh (pitt.edu)

2019 – Present

MS student

University of Southern California (usc.edu)

2017 – 2019

Undergrad student

Huazhong University of Science and Technology (hust.edu)

2013 – 2017

Advisors, Relations & Conflicts

PhD Advisor

Shandong Wu

2019 – Present

Expertise

federated learning

Present

machine learning

computer vision

Present

medical imaging

Present

vision-language model

Present

Publications

FedPerfix: Towards Partial Model Personalization of Vision Transformers in Federated Learning
Guangyu Sun, Matias Mendieta, Jun Luo, Shandong Wu, Chen Chen
- Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)
- Readers: Everyone
Mixture of Experts Made Personalized: Federated Prompt Learning for Vision-Language Models
Jun Luo, Chen Chen, Shandong Wu
- ICLR 2025 Poster
- Readers: Everyone
PGFed: Personalize Each Client's Global Objective for Federated Learning
Jun Luo, Matías Mendieta, Chen Chen, Shandong Wu
- ICCV 2023
- Readers: Everyone
FedPerfix: Towards Partial Model Personalization of Vision Transformers in Federated Learning
Guangyu Sun, Matías Mendieta, Jun Luo, Shandong Wu, Chen Chen
- ICCV 2023
- Readers: Everyone
Fedsld: Federated Learning with Shared Label Distribution for Medical Image Classification
Jun Luo, Shandong Wu
- ISBI 2022
- Readers: Everyone
Adapt to Adaptation: Learning Personalization for Cross-Silo Federated Learning
Jun Luo, Shandong Wu
- IJCAI 2022
- Readers: Everyone
Adapt to Adaptation: Learning to Personalize for Cross-Silo Federated Learning
Jun Luo, Shandong Wu
- 29 Sept 2021 (modified: 13 Feb 2023)
- ICLR 2022 Conference Withdrawn Submission
- Readers: Everyone

Jun Luo

Names

Emails

Personal Links

Career & Education History

Advisors, Relations & Conflicts

Expertise

Publications

FedPerfix: Towards Partial Model Personalization of Vision Transformers in Federated Learning

Mixture of Experts Made Personalized: Federated Prompt Learning for Vision-Language Models

PGFed: Personalize Each Client's Global Objective for Federated Learning

FedPerfix: Towards Partial Model Personalization of Vision Transformers in Federated Learning

Fedsld: Federated Learning with Shared Label Distribution for Medical Image Classification

Adapt to Adaptation: Learning Personalization for Cross-Silo Federated Learning

Adapt to Adaptation: Learning to Personalize for Cross-Silo Federated Learning

Co-Authors