FedAlign
Federated Learning Framework
Develops an alignment framework for federated learning with non-identical client class sets
Code for KDD 2023 paper "Navigating Alignment for Non-identical Client Class Sets: A Label Name-Anchored Federated Learning Framework"
4 stars
1 watching
0 forks
Language: Python
last commit: over 2 years agoRelated projects:
| Repository | Description | Stars |
|---|---|---|
 yutong-dai/fednh | An implementation of a federated learning framework for handling data heterogeneity in decentralized settings | 38 |
 litian96/ditto | A framework for personalized federated learning to balance fairness and robustness in decentralized machine learning systems. | 138 |
 gaoliang13/feddc | Federated learning algorithm that adapts to non-IID data by decoupling and correcting for local drift | 81 |
 jinheonbaek/fed-pub | Personalized Subgraph Federated Learning framework for distributed machine learning | 45 |
 hongyouc/fed-rod | Develops a framework to balance competing goals in federated learning by decoupling generic and personalized prediction tasks. | 14 |
 haozzh/fedcr | Evaluates various methods for federated learning on different models and tasks. | 19 |
 mediabrain-sjtu/fedgela | This project enables federated learning across partially class-disjoint data with curated bilateral curation. | 11 |
 codepothunter/fednp | A framework for non-IID federated learning via neural propagation | 6 |
 yuetan031/fedstar | This project implements a federated learning algorithm for non-IID graph classification tasks by leveraging structural knowledge sharing. | 60 |
 fangxiuwen/robust_fl | An implementation of a robust federated learning framework for handling noisy and heterogeneous clients in machine learning. | 43 |
| mediabrain-sjtu/pfedgraph | This project enables personalized federated learning with inferred collaboration graphs to improve the performance of machine learning models on non-IID (non-independent and identically distributed) datasets. | 26 |
 pengyang7881187/fedrl | Enabling multiple agents to learn from heterogeneous environments without sharing their knowledge or data | 56 |
 bytedance/feddecorr | Implementation of various federated learning algorithms to mitigate dimensional collapse in heterogeneous federated learning environments | 64 |
 yamingguo98/fediir | An implementation of a federated learning algorithm that generalizes to out-of-distribution scenarios using implicit invariant relationships | 10 |
 wyjeong/fedmatch | A project implementing Federated Semi-Supervised Learning with Inter-Client Consistency & Disjoint Learning | 80 |