ADAPTIVE COMMUNICATION-EFFICIENT FEDERATED LEARNING ON REAL-WORLD DATA
Ph.D
Saved in:
Main Author: | CHEN ZIHAN |
---|---|
Other Authors: | ELECTRICAL & COMPUTER ENGINEERING |
Format: | Theses and Dissertations |
Language: | English |
Published: |
2023
|
Subjects: | |
Online Access: | https://scholarbank.nus.edu.sg/handle/10635/236741 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | National University of Singapore |
Language: | English |
Similar Items
-
Lightweight privacy-preserving cross-cluster federated learning with heterogeneous data
by: CHEN, Zekai, et al.
Published: (2024) -
CaBaFL: Asynchronous federated learning via hierarchical cache and feature balance
by: XIA, Zeke, et al.
Published: (2024) -
TravellingFL: communication efficient peer-to-peer federated learning
by: Gupta, Vansh, et al.
Published: (2024) -
Privacy-enhancing and robust backdoor defense for federated learning on heterogeneous data
by: CHEN, Zekai, et al.
Published: (2024) -
Deep anomaly detection for time-series data in industrial IoT: a communication-efficient on-device federated learning approach
by: Liu, Yi, et al.
Published: (2022)