Communication Efficient Decentralized Collaborative Learning Of Heterogeneous Deep Learning Models Using Distillation And Incentive-Based Techniques
Smart devices, collectively, have very valuable and real-time data which can be used to train very efficient deep learning models for AI applications. However, due to the sensitive nature of this data, people are more concerned about the privacy of their data and not willing to share it. Therefore,...
Saved in:
Main Author: | Iqbal, Zahid |
---|---|
Format: | Thesis |
Language: | English |
Published: |
2023
|
Subjects: | |
Online Access: | http://eprints.usm.my/60077/1/ZAHID%20IQBAL%20-%20TESIS%20cut.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Vision-Based Hand Gesture Recognition Using Deep Learning Approach
by: Tan, Yong Soon
Published: (2019) -
Deep Learning-Based Parking Detection System Using Structural Similarity
by: Ng, Chin Kit
Published: (2019) -
Collaborative Online Learning Using E-moderators In A
Wiki Environment On The Quality Of Writing, Engagement,
And Collaboration Among Students With Different Levels
Of Self-regulated Learning In Yemen
by: Abdullah Al-Sharaabi , Waheeb
Published: (2009) -
Enhanced Heterogeneous Stacked Ensemble Machine Learning Model For Detecting Nigerian Politically Motivated Cyberhate
by: Sallau, Mullah Nanlir
Published: (2023) -
Video On Demand System For Heterogeneous
Wireless Mobile Networks
by: Al-Omari, Saleh Ali Khattap
Published: (2013)