Object Re-Identification Based on Federated Incremental Subgradient Proximal Optimization
Object Re-identification (Object ReID) is one of the key tasks in the field of computer vision. However, traditional centralized ReID methods face challenges related to privacy protection and data storage. Federated learning, as a distributed machine learning framework, can utilize dispersed data fo...
Saved in:
Main Authors: | Li Kang, Chuanghong Zhao, Jianjun Huang |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2025-01-01
|
Series: | IEEE Open Journal of the Computer Society |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/10742512/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A survey of security threats in federated learning
by: Yunhao Feng, et al.
Published: (2025-01-01) -
Data augmentation scheme for federated learning with non-IID data
by: Lingtao TANG, et al.
Published: (2023-01-01) -
Blockchain based adaptive federated learning in computational power network
by: LIU Tianrui, et al.
Published: (2024-06-01) -
The Data Heterogeneity Issue Regarding COVID-19 Lung Imaging in Federated Learning: An Experimental Study
by: Fatimah Alhafiz, et al.
Published: (2025-01-01) -
Client grouping and time-sharing scheduling for asynchronous federated learning in heterogeneous edge computing environment
by: Qianpiao MA, et al.
Published: (2023-11-01)