FedGroup, A Clustered Federated Learning framework based on Tensorflow
☆42Dec 2, 2021Updated 4 years ago
Alternatives and similar repositories for GrouProx
Users that are interested in GrouProx are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- FlexCFL: A clustered federated learning framework based on TF2.0. Support frameworks: FlexCFL, FedGroup, FedAvg, IFCA, FeSEM, et al.☆54Nov 16, 2022Updated 3 years ago
- ☆26Apr 3, 2020Updated 6 years ago
- Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints☆187Mar 16, 2021Updated 5 years ago
- Codebase for An Efficient Framework for Clustered Federated Learning.☆123Oct 22, 2020Updated 5 years ago
- ☆24Dec 4, 2023Updated 2 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- fully ready experiments☆40Jul 18, 2022Updated 4 years ago
- Simulation-based performance analysis of server-less Blockchain-enabled Federated Learning☆39May 13, 2025Updated last year
- Federated Optimization in Heterogeneous Networks (MLSys '20)☆733Mar 24, 2023Updated 3 years ago
- ☆41Dec 8, 2021Updated 4 years ago
- This repository contains the code for the paper accepted by IJCAI-2022: Adapt to Adaptation: Learning Personalization for Cross-Silo Fede…☆12Sep 2, 2022Updated 3 years ago
- ☆15Dec 15, 2023Updated 2 years ago
- Federated learning on blockchain using smart contracts. Distributed privacy-preserving data science technology.☆51Apr 16, 2023Updated 3 years ago
- [IoTDI 2023/ML4IoT 2023] Async-HFL: Efficient and Robust Asynchronous Federated Learning in Hierarchical IoT Networks☆42Apr 4, 2023Updated 3 years ago
- Personalized Federated Learning with Moreau Envelopes (pFedMe) using Pytorch (NeurIPS 2020)☆310Apr 18, 2022Updated 4 years ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- ☆11Dec 8, 2020Updated 5 years ago
- [NeurIPS 2019 FL workshop] Federated Learning with Local and Global Representations☆245Jul 25, 2024Updated 2 years ago
- For NUS PhD Students and Staffs, just one click to open the research papers on Google Scholar/IEEE/ACM, etc. with this script.☆26Jul 11, 2024Updated 2 years ago
- A Proof-of-Stake (PoS) blockchain-based Federated Learning framework with a validation scheme robust against the distorted local model up…☆23Sep 11, 2023Updated 2 years ago
- Repository that contains the code for the paper titled, 'Unifying Distillation with Personalization in Federated Learning'.☆14May 31, 2021Updated 5 years ago
- FedML-Mobile: Federated Learning Research Library for Android and iOS Smartphones (supported by FedML framework)☆25Jul 2, 2022Updated 4 years ago
- ☆35May 23, 2021Updated 5 years ago
- A simulation framework for Federated Learning written in PyTorch☆206Apr 9, 2022Updated 4 years ago
- SCAFFOLD and FedAvg implementation☆61Jul 20, 2021Updated 5 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Official Code for PACFL AAAI 2023☆45Aug 6, 2023Updated 2 years ago
- Federated Learning with Partial Model Personalization☆42Jul 9, 2022Updated 4 years ago
- DFL working group☆32May 14, 2024Updated 2 years ago
- Simple simulation of federated learning (FedAvg) using Flower framework☆23Dec 8, 2021Updated 4 years ago
- FLIS: Clustered Federated Learning via Inference Similarity for Non-IID Data Distribution☆41Nov 13, 2022Updated 3 years ago
- Similarity Guided Model Aggregation for Federated Learning☆26Mar 22, 2022Updated 4 years ago
- A summay of existing works on vertical federated/split learning☆15Nov 28, 2021Updated 4 years ago
- PyTorch Implementation of Personalized federated learning with theoretical guarantees: A model-agnostic meta-learning approach☆57Feb 1, 2023Updated 3 years ago
- BEAS: Blockchain Enabled Asynchronous & Secure Federated Machine Learning☆33Feb 19, 2021Updated 5 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- ☆13Feb 16, 2023Updated 3 years ago
- ☆19Jan 8, 2021Updated 5 years ago
- Implementation of Federated Learning and Blockchain for training machine learning models using a decentralized approach thereby attemptin…☆30Aug 21, 2021Updated 4 years ago
- Practical One-Shot Federated Learning for Cross-Silo Setting☆42May 21, 2021Updated 5 years ago
- 分类任务的 Focal Loss,PyTorch 实现☆10Jun 13, 2023Updated 3 years ago
- On the Convergence of FedAvg on Non-IID Data☆273Dec 7, 2022Updated 3 years ago
- Performed document clustering using the DBSCAN clustering algorithm☆14Oct 21, 2020Updated 5 years ago