Async-LinUCB
Federated bandit algo
Implementation of algorithms for federated linear bandits in multi-agent environments
Code for Asynchronous Upper Confidence Bound Algorithms for Federated Linear Bandits, AISTATS 2022
1 stars
2 watching
3 forks
Language: Python
last commit: about 3 years agoRelated projects:
| Repository | Description | Stars |
|---|---|---|
 abhimanyudubey/private_federated_linear_bandits | An implementation of differentially private federated linear bandits algorithm for decentralized decision-making in multiple agents | 5 |
 lins-lab/fedbr | An implementation of federated learning algorithm to reduce local learning bias and improve convergence on heterogeneous data | 25 |
 shengroup/fmab | Federated Multi-armed Bandits algorithm implementation for simulating cognitive radio systems and recommender systems | 9 |
 ljb121002/fednar | A Python implementation of federated optimization algorithm with normalized annealing regularization. | 6 |
 ignavierng/notears-admm | An implementation of Bayesian network structure learning with continuous optimization for federated learning. | 10 |
 lx10077/fedavgpy | The purpose of this project is to investigate the convergence of a federated learning algorithm on non-IID (non-identically and independently distributed) data. | 255 |
 clreda/near-optimal-federated | An open-source software project implementing collaborative learning in bandits to achieve near-optimal results | 1 |
 hongliny/fedac-neurips20 | Provides code for a federated learning algorithm to optimize machine learning models in a distributed setting. | 14 |
 dcalab-unipv/turning-privacy-preserving-mechanisms-against-federated-learning | This project presents an attack on federated learning systems to compromise their privacy-preserving mechanisms. | 8 |
 lollcat/fab-torch | An implementation of the Flow Annealed Importance Sampling Bootstrap algorithm in Python. | 51 |
 alshedivat/fedpa | A modular JAX implementation of federated learning via posterior averaging for decentralized optimization | 50 |
 gaoliang13/feddc | Federated learning algorithm that adapts to non-IID data by decoupling and correcting for local drift | 81 |
 laurents/slowapi | A rate limiter library for Starlette and FastAPI | 1,276 |
 harliwu/fedamd | This project presents an approach to federated learning with partial client participation by optimizing anchor selection for improving model accuracy and convergence. | 2 |
 optimization-ai/icml2023_fedxl | An implementation of a federated learning algorithm for optimization problems with compositional pairwise risk optimization. | 2 |