federated
Decentralized analysis
A collection of research projects exploring decentralized machine learning and analytics techniques
A collection of Google research projects related to Federated Learning and Federated Analytics.
690 stars
27 watching
195 forks
Language: Python
last commit: 4 months ago Related projects:
| Repository | Description | Stars |
|---|---|---|
 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 |
 yuetan031/fedproto | An implementation of federated learning with prototype-based methods across heterogeneous clients | 133 |
| mediabrain-sjtu/fedgela | Federated learning algorithm designed to handle partially class-disjoint data by utilizing bilateral curation and Dirichlet partitioning. | 10 |
 lins-lab/fedbr | An implementation of federated learning algorithm to reduce local learning bias and improve convergence on heterogeneous data | 25 |
 pengyang7881187/fedrl | Enabling multiple agents to learn from heterogeneous environments without sharing their knowledge or data | 54 |
| mediabrain-sjtu/feddisco | A federated learning framework with discrepancy-aware collaboration for decentralized data training | 65 |
| mediabrain-sjtu/feddg-ga | This project presents a method for federated domain generalization with adjustment, allowing multiple models to learn from each other across different domains. | 43 |
 idanachituve/pfedgp | An implementation of Personalized Federated Learning with Gaussian Processes using Python. | 32 |
 haozzh/fedcr | Evaluates various methods for federated learning on different models and tasks. | 17 |
 xjiajiahao/federated-minimax | A framework for developing and testing decentralized machine learning algorithms | 2 |
 jinheonbaek/fed-pub | Personalized Subgraph Federated Learning framework for distributed machine learning | 44 |
 shams-sam/fedoptim | An open-source project exploring Federated Learning model updates and their rank structure using data from various datasets. | 13 |
 ibm/fl-arbitrary-participation | Analyzes Federated Learning with Arbitrary Client Participation using various optimization strategies and datasets. | 4 |
 sungwon-han/fedx | An unsupervised federated learning algorithm that uses cross knowledge distillation to learn meaningful data representations from local and global levels. | 68 |
 google/fedjax | A library that provides an easy-to-use framework for simulating federated learning algorithms | 252 |