Federated learning for image applications
With the development of artificial intelligence and deep learning, data privacy and security have become very important issues. For institutions or individuals to train the model together while ensuring data privacy, the concept of federated learning is proposed. In this project, we studied the aggr...
Saved in:
Main Author: | Cao, Shuxin |
---|---|
Other Authors: | Wen Bihan |
Format: | Final Year Project |
Language: | English |
Published: |
Nanyang Technological University
2021
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/150341 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Blockchain and federated learning for data sharing in vehicular network
by: Qiu, Stanley
Published: (2022) -
Online Federated Learning over decentralized networks
by: Zhang, Chi
Published: (2019) -
In-Network Caching and Learning Optimization for Federated Learning in Mobile Edge Networks
by: Saputra, Yuris Mulya, et al.
Published: (2022) -
Gradient inversion-based inference attack against federated learning
by: Chan, Joel Yuan Wei
Published: (2023) -
Federated Learning Meets Contract Theory: Economic-Efficiency Framework for Electric Vehicle Networks
by: Saputra, Yuris Mulya, et al.
Published: (2022)