fully ready experiments
☆39Jul 18, 2022Updated 3 years ago
Alternatives and similar repositories for multi-center-fed-learning
Users that are interested in multi-center-fed-learning 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
- Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints☆185Mar 16, 2021Updated 5 years ago
- This is the repository for the work "An ensemble mechanism to tackle the heterogeneity in asynchronous federated learning"☆11Nov 19, 2021Updated 4 years ago
- ☆16Aug 25, 2021Updated 4 years ago
- Codebase for An Efficient Framework for Clustered Federated Learning.☆122Oct 22, 2020Updated 5 years ago
- Source code for "FedSoft: Soft Clustered Federated Learning with Proximal Local Updating"☆20Apr 28, 2022Updated 3 years ago
- ☆26Apr 3, 2020Updated 5 years ago
- FLIS: Clustered Federated Learning via Inference Similarity for Non-IID Data Distribution☆41Nov 13, 2022Updated 3 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
- FedGroup, A Clustered Federated Learning framework based on Tensorflow☆41Dec 2, 2021Updated 4 years ago
- DistFL: Distribution-aware Federated Learning for Mobile Scenarios☆12Mar 14, 2022Updated 4 years ago
- Official repository for Local Learning Matters: Rethinking Data Heterogeneity in Federated Learning [CVPR 2022 Oral, Best Paper Finalist]☆61Sep 15, 2022Updated 3 years ago
- 关于簇联邦学习的一个小小的改进。自动确定簇个数，提高簇模型精度，缓解用户孤立的问题☆36Apr 21, 2022Updated 3 years ago
- FedGH: Heterogeneous Federated Learning with Generalized Global Header (MM'23)☆16Aug 6, 2023Updated 2 years ago
- [NeurIPS 2023]Federated Learning with Bilateral Curation for Partially Class-Disjoint Data☆14Aug 1, 2025Updated 7 months ago
- [NeurIPS'22 Spotlight] Federated Learning from Pre-Trained Models: A Contrastive Learning Approach☆44Apr 25, 2023Updated 2 years ago
- Official Code for PACFL AAAI 2023☆45Aug 6, 2023Updated 2 years ago
- Code accompanying the paper "Decentralized Federated Learning through Proxy Model Sharing"☆85Jun 5, 2023Updated 2 years ago
- Differentially Private Federated Learning: A Client Level Perspective☆12Jul 3, 2019Updated 6 years ago
- Official code for "Personalized Federated Learning through Local Memorization" (ICML'22)☆44Jun 12, 2023Updated 2 years ago
- ☆22Oct 22, 2024Updated last year
- Research code that accompanies the paper FedCL: Federated Multi-Phase Curriculum Learning to Synchronously Correlate User Heterogeneity.☆21Aug 30, 2023Updated 2 years ago
- [NeurIPS'23] FedL2P: Federated Learning to Personalize☆24Nov 8, 2025Updated 4 months ago
- Code release for Tackling Data Heterogeneity in Federated Learning with Class Prototypes appeared on AAAI2023.☆47Feb 16, 2023Updated 3 years ago
- This is a platform containing the datasets and federated learning algorithms in IoT environments.☆72Dec 9, 2024Updated last year
- "Efficient Federated Learning for Modern NLP", to appear at MobiCom 2023.☆34Aug 18, 2023Updated 2 years ago
- ☆35May 23, 2021Updated 4 years ago
- ☆15Dec 15, 2023Updated 2 years ago
- 用python画出一幅标准的五星红旗，庆祝国庆节！☆11Oct 14, 2022Updated 3 years ago
- Master Federated Learning in 2 Hours—Run It on Your PC!☆2,089Jan 25, 2026Updated 2 months ago
- ☆85Jan 6, 2022Updated 4 years ago
- 【CVPR 2023】Learning Federated Visual Prompt in Null Space for MRI Reconstruction☆48Apr 1, 2023Updated 2 years ago
- The code for the paper "QuAFL: Federated Averaging Can Be Both Asynchronous and Communication-Efficient"☆17Mar 26, 2023Updated 2 years ago
- ☆23Apr 30, 2022Updated 3 years ago
- PyTorch implementation of FedPer (Federated Learning with Personalization Layers).☆81Aug 6, 2022Updated 3 years ago
- PyTorch implementation of Layer-wised Model Aggregation for Personalized Federated Learning☆97Apr 24, 2023Updated 2 years ago
- ☆22Sep 1, 2023Updated 2 years ago
- Asynchronous Federated Learning☆20Oct 5, 2021Updated 4 years ago
- 联邦学习模块化框架，支持各类FL。A universal federated learning framework, free to switch thread and process modes☆179Jun 12, 2025Updated 9 months ago