# Demystifying Impact of Key Hyper-Parameters in Federated Learning: A Case Study on CIFAR-10 and FashionMNIST

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/demystifying-impact-of-key-hyper-parameters-in-federated-learning-a-case-study/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Majid Kundroo,Taehong Kim |
| Citations | 13 |
| DOI | 10.1109/access.2024.3450894 |
| Fields | Computer Science |
| Open Access | true |
| OA Status | gold |
| OA URL | https://doi.org/10.1109/access.2024.3450894 |
| OpenAlex ID | https://openalex.org/W4401943108 |
| Type | article |
| Year | 2024 |

## 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/)
- [Stochastic Gradient Optimization Techniques](https://scholariq.org/topics/stochastic-gradient-optimization-techniques/)
- [Cloud Data Security Solutions](https://scholariq.org/topics/cloud-data-security-solutions/)

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