Federated learning study
Federated learning is a hot topic in the recent years due to the increased in emphasis for data privacy. Evidently, expert and specialised domain specific companies harbour large data assets required for a stronger machine learning model and these companies are generally not willing to disclose t...
Saved in:
Main Author: | Chan, Aloysius Zhen Wu |
---|---|
Other Authors: | Jun Zhao |
Format: | Final Year Project |
Language: | English |
Published: |
Nanyang Technological University
2021
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/148154 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Federated learning study
by: Aratrika, Pal
Published: (2023) -
Study of attacks on federated learning
by: Thung, Jia Cheng
Published: (2021) -
Decentralized federated learning
by: Hitesh, Agarwal
Published: (2022) -
Cost of federated learning
by: Tan, Cheen Hao
Published: (2022) -
Study on attacks against federated learning
by: Wong, Yuan Neng
Published: (2021)