# Experimental Evaluation and Analysis of Federated Learning in Edge Computing Environments

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/experimental-evaluation-and-analysis-of-federated-learning-in-edge-computing/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Pham Khanh Quan,Majid Kundroo,Taehong Kim |
| Citations | 23 |
| DOI | 10.1109/access.2023.3262945 |
| Fields | Computer Science |
| Open Access | true |
| OA Status | gold |
| OA URL | https://ieeexplore.ieee.org/ielx7/6287639/6514899/10086519.pdf |
| OpenAlex ID | https://openalex.org/W4361858063 |
| Type | article |
| Year | 2023 |

## Paper authors

- [Majid Kundroo](https://scholariq.org/researchers/majid-kundroo/)

## Paper journal

- [IEEE Access](https://scholariq.org/journals/ieee-access/)

## Paper primary topic

- [Privacy-Preserving Technologies in Data](https://scholariq.org/topics/privacy-preserving-technologies-in-data/)

## Paper topics

- [Privacy-Preserving Technologies in Data](https://scholariq.org/topics/privacy-preserving-technologies-in-data/)
- [Mobile Crowdsensing and Crowdsourcing](https://scholariq.org/topics/mobile-crowdsensing-and-crowdsourcing/)
- [Cryptography and Data Security](https://scholariq.org/topics/cryptography-and-data-security/)

---
Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.