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: about 4 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 |