Evaluation and comparison of federated learning algorithms for ...

In this paper, we propose a new FL algorithm, termed FedDist, which can modify models (here, deep neural network) during training by identifying ...

FedDist evaluated with three state-of-the-art federated learning algorithms on three large heterogeneous mobile Human Activity Recognition ...

Evaluation and comparison of federated learning algorithms for ...

In this context, Federated Learning (FL) has been introduced as a new machine learning paradigm enhancing the use of local devices. At the server level, FL ...

[PDF] Evaluation and comparison of federated learning algorithms ...

Semantic Scholar extracted view of "Evaluation and comparison of federated learning algorithms for Human Activity Recognition on smartphones" by Sannara Ek ...

Evaluation and comparison of federated learning algorithms ... - OUCI

Evaluation and comparison of federated learning algorithms for Human Activity Recognition on smartphones · List of references · Publications that cite this ...

A Federated Learning Aggregation Algorithm for Pervasive Computing

To date, the most popular federated learning algorithm uses coordinate-wise averaging of the model parameters for aggregation. However, it has been shown that ...

FLAGS Framework for Comparative Analysis of Federated Learning ...

Abstract:Federated Learning (FL) has become a key choice for distributed machine learning. Initially focused on centralized aggregation, ...

Evaluation of federated learning aggregation algorithms

Specifically, interest in machine learning approaches for engineering applications has increased rapidly. \ This paradigm seems to fit the ...

Federated Learning Algorithms with Heterogeneous Data Distributions

However, the performance of FL algorithms significantly drops in presence of heterogeneous data distributions among the learners in the federation – this ...

A Survey of Federated Evaluation in Federated Learning - IJCAI

For example, the difference between local model pa- rameters before and after a training round is considered as a quality metric evaluated by the server [Zhao ...

Comparative analysis of open-source federated learning frameworks

In conducting the literature review (see Table 1 on page 7), a total of 18 FL frameworks were identified for the comparison and evaluation. To ...

Artifact: A Federated Learning Aggregation Algorithm for Pervasive ...

... Federated Learning Aggregation Algorithm for Pervasive Computing: Evaluation and Comparison” [1]. The artifact is available in a public GitHub ...

Reviewing Federated Learning Aggregation Algorithms - MDPI

In this context, a privacy-preserving, distributed, and collaborative machine learning technique called federated learning (FL) has emerged. The core idea of ...

A comparative study of federated learning methods for COVID-19 ...

We performed training with various participating clients and federated rounds to evaluate their effect on final performance. Models were also ...

A Performance Evaluation of Federated Learning Algorithms

This work benchmarks three federated learning algorithms and shows that FedAvg achieves the highest accuracy among the federated algorithms, regardless of ...

Evaluation of Federated Learning Aggregation Algorithms ... - HAL

mance difference between federated learning and the centralized learning approach. In the second evaluation, we test each client's model on ...

getalp/PerCom2021-FL: Federated_learning codes used ... - GitHub

This is the code accompanying the Percom2021 paper "A Federated Learning Aggregation Algorithm for Pervasive Computing: Evaluation and Comparison" and the code ...

A COMPARATIVE STUDY OF VGG16 AND MOBILENET ON CIFAR-10

... federated settings more optimally.•Comparative Analysis: Advanced federated learning algorithms like FedProx, FedMA, and FedPAQ notonly ...

Use Case Sensitive Evaluation Metrics for Federated Learning

A large number of federated learning (FL) algorithms have been proposed for different applications and from varying perspectives. However, the evaluation of ...

Research review of federated learning algorithms

The first layer introduced the definition,architecture,classification of federated learning and compared the federated learning with traditional ...