GitHub topics: client-selection
kt4ngw/CBCSBA
Source code for the paper "Joint Class-Balanced Client Selection and Bandwidth Allocation for Cost-Efficient Federated Learning in Mobile Edge Computing Networks".
Language: Python - Size: 352 KB - Last synced at: 10 days ago - Pushed at: 10 days ago - Stars: 75 - Forks: 3
AliAhmadi-Software/FedAvg-Random-CS-FL
Random Client Selection FedAvg Federated Learning
Language: Jupyter Notebook - Size: 8.79 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0
maxfra01/federated-learning
This repository explores Federated Learning (FL) with a focus on FedAvg, client heterogeneity, and novel client selection strategies. We conduct experiments using CIFAR-100 and Shakespeare datasets with PyTorch.
Language: Jupyter Notebook - Size: 11.1 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 1 - Forks: 0
dos-group/fedzero
Implementation and evaluation of "FedZero: Leveraging Renewable Excess Energy in Federated Learning"
Language: Python - Size: 494 KB - Last synced at: 3 months ago - Pushed at: 10 months ago - Stars: 21 - Forks: 1
AliAhmadi-Software/Federated-Learning-Articles
Federated Learning Articles
Size: 1.28 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0
kt4ngw/ICC-2024
Source code for the paper "Energy-Efficient Client Sampling for Federated Learning in Heterogeneous Mobile Edge Computing Networks", this paper is pulished in ICC 2024.
Language: Python - Size: 19.5 KB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 1 - Forks: 0
Mattizza/FL-project
Code regarding the Semantic Segmentation in Federated Learning project for the Machine Learning and Deep Learning 2022/2023 project.
Language: Python - Size: 665 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 1
