Recent advances on federated learning systems and the design for computing power Internet of things
Computing power Internet of things (CPIoT) integrates Internet of things (IoT) devices with substantial computational resources to support data-intensive tasks, facilitating intelligent decision-making. Within the context of privacy protection requirements for CPIoT, federated learning (FL) that is...
Saved in:
Main Authors: | LU Jianfeng, QI Pan, PAN Linyu, LI Bing, CAO Shuqin, JIN Yan'an |
---|---|
Format: | Article |
Language: | zho |
Published: |
China InfoCom Media Group
2024-12-01
|
Series: | 物联网学报 |
Subjects: | |
Online Access: | http://www.wlwxb.com.cn/zh/article/doi/10.11959/j.issn.2096-3750.2024.00438/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Federated Learning in Data Privacy and Security
by: Dokuru Trisha Reddy, et al.
Published: (2024-12-01) -
FUNCTIONS OF HIGHER PROFESSIONAL FOREIGN LANGUAGE EDUCATION
by: M. A. Bogatyreova
Published: (2014-06-01) -
Why and how should we simulate platform trials? Learnings from EU-PEARL
by: Elias Laurin Meyer, et al.
Published: (2025-01-01) -
Digitalisation of state and municipal services, using the federal state information system “Unified Population Register” as an example
by: S. S. Belikova, et al.
Published: (2021-12-01) -
Scalable Full-Stack Benchmarks for Quantum Computers
by: Jordan Hines, et al.
Published: (2024-01-01)