apoorvakliv / fed2tier
Fed2Tier offers a two-tier federated learning approach, optimizing for eco-friendliness and efficiency. It improves model generalizability by integrating more edge devices and uniquely categorizing clients. The addition of intermediate nodes streamlines communication and reduces carbon emissions, enhancing both privacy and performance.
☆20Updated last year
Alternatives and similar repositories for fed2tier:
Users that are interested in fed2tier are comparing it to the libraries listed below
- FedERA is a modular and fully customizable open-source FL framework, aiming to address these issues by offering comprehensive support for…☆137Updated last week
- Mobile Federated Learning development kit for FedCampus☆16Updated last year
- This project is done as part of the Machine Learning subject in our curriculum.☆10Updated 3 years ago
- Experiments on MNIST dataset and federated training using Flower framework☆37Updated 8 months ago
- A curated list of Federated Learning papers/articles and recent advancements.☆92Updated 2 years ago
- ☆21Updated 2 years ago
- A list of papers on Federated Deep Learning in Healthcare, in particular, algorithms Deep Learning with Medical Imaging.☆33Updated 4 years ago
- Classify Skin cancer from the skin lesion images using Image classification. The dataset for the project is obtained from the Kaggle SIIM…☆147Updated 3 years ago
- FedZoo-Bench: An open source PyTorch libarary for federated learning with implementation of more than 22 algorithms☆18Updated last month
- Papers discussed in the meetings of IITG.ai with summaries and resources.☆20Updated 9 months ago
- Course Repository☆14Updated 4 months ago
- Experiments of the DAI in Healthcare project - skin lesions images use case - using Flower☆16Updated 2 years ago
- Making a binary classifier to detect pneumonia using chest x-rays images.☆40Updated 4 years ago
- Short, easy to run, code examples presented in the Flower's FlowerMonthly online meetings.☆13Updated last year
- Implementation of FedAvg, FedProx and qFedAvg using PyTorch☆14Updated 11 months ago
- ☆18Updated 3 years ago
- Scripts and Approach for Amazon ML Challenge☆89Updated 3 years ago
- ☆131Updated 3 years ago
- [CVPR 2024] Official Repository for "FedSelect: Personalized Federated Learning with Customized Selection of Parameters for Fine-Tuning"☆21Updated 4 months ago
- Hey,this is a torch implementation of LEAF(a benchmark of FL)☆24Updated 4 years ago
- (SIGKDD 2022) Connected Low-Loss Subspace Learning for a Personalization in Federated Learning (https://arxiv.org/abs/2109.07628)☆31Updated 8 months ago
- Health Check ✔ is a Machine Learning Web Application made using Flask that can predict mainly three diseases i.e. Diabetes, Heart Disease…☆175Updated last year
- Free GRE Preparation Material☆556Updated 6 years ago
- The code for paper FedCL: Federated Contrastive Learning for Multi-center Medical Image Classification.☆21Updated last year
- Simple simulation of federated learning (FedAvg) using Flower framework☆22Updated 3 years ago
- An institute wise list of top Indian professors who research in the field of Machine Learning, Deep Learning and Computer Vision.☆39Updated 3 years ago
- Official Repo for Deep Learning for Compyter Vision Course offered by NPTEL☆27Updated last year
- Final project for Lesson 7: Federated Learning in the Facebook and Udacity Secure and Private AI scholarship nanodegree program☆16Updated 5 years ago
- ☆17Updated 3 years ago
- A Federated Learning implementation to diagnose 2 acute inflammations of bladder.. This medical dataset truly needs privacy! Because we c…☆39Updated 5 years ago