FMAB
Bandit algorithms
Federated Multi-armed Bandits algorithm implementation for simulating cognitive radio systems and recommender systems
The repo for Shen Group's FMAB repo
9 stars
1 watching
5 forks
Language: Python
last commit: almost 5 years ago Related projects:
| Repository | Description | Stars |
|---|---|---|
| | An implementation of Federated Multi-Armed Bandits with Personalization using Python and Jupyter Notebook. | 6 |
| | Implementation of algorithms for federated linear bandits in multi-agent environments | 1 |
| | An implementation of a decentralized algorithm for online decision-making in multiple agents | 4 |
| | Code for analyzing early stopping in kernel boosting algorithms | 0 |
| | An implementation of differentially private federated linear bandits algorithm for decentralized decision-making in multiple agents | 5 |
| | An algorithm to improve convergence rates and protect privacy in Federated Learning by addressing the catastrophic forgetting issue during local training | 26 |
| | An implementation of a reinforcement learning algorithm using multi-branch architecture and Deep Deterministic Policy Gradients (DDPG) to control autonomous vehicles in simulation environments. | 81 |
| | Implementations of federated incremental semantic segmentation in PyTorch. | 34 |
| | An algorithm for learning federated visual prompts in null space to improve MRI reconstruction performance on limited local data and reduced communication costs | 45 |
| | A PyTorch-based framework for Federated Learning experiments | 40 |
| | An implementation of online multi-label ranking boosting using VFDT as weak learners | 4 |
| | A high-performance probabilistic data structure for efficient membership testing | 88 |
| | An open-source software project implementing collaborative learning in bandits to achieve near-optimal results | 1 |
| | Detects and tracks 4G cell site simulators in real-time | 970 |
| | A framework for Federated Learning with Differential Privacy using PyTorch | 13 |