FedLinUCB
by uclaml
A Simple and Provably Efficient Algorithm for Asynchronous Federated Contextual Linear Bandits
AI summary
Action optimizer
An algorithm designed to optimize the selection of actions in multiple, distributed environments with feedback and context information.
- stars
- 2
- forks
- 0
- watching
- 2
Similar projects
Found by comparing what the projects do, not just their names.
Federated optimizer
An optimization framework designed to address heterogeneity in federated learning across distributed networks
Federated Learning optimizer
An algorithm for Federated Learning with heterogeneous data, designed to optimize deep neural networks and improve performance
Federated learner
An implementation of a federated learning algorithm for optimization problems with compositional pairwise risk optimization.
Collaboration optimizer
An algorithm that optimizes collaboration in federated learning by clustering clients into non-overlapping coalitions based on data quantity and pairwise distribution distances.
Federated learner optimizer
A tool for training federated learning models with adaptive gradient balancing to handle class imbalance in multi-client scenarios.
Federated Learning Optimizer
An implementation of federated learning optimized for training on renewable energy sources and spare compute capacity to minimize carbon emissions.
Federated learning optimizer
An algorithm for distributed learning with flexible model customization during training and testing
Optimizer
An optimization algorithm implementation in Matlab.
brml/climin181
Optimizer
A Python package for gradient-based function optimization in machine learning
Optimization algorithm
An optimizer that automatically tunes momentum and learning rate using local quadratic approximation.
Memory optimizer
An optimization technique to reduce memory usage in deep neural networks during training
Federated Averaging Optimizer
An implementation of a federated averaging algorithm with an extrapolation approach to speed up distributed machine learning training on client-held data.
Hyperparameter optimizer
A reinforcement learning-based framework for optimizing hyperparameters in distributed machine learning environments.
Decentralized optimizer
A modular JAX implementation of federated learning via posterior averaging for decentralized optimization
Function Optimizer
A Python library that streamlines the process of optimizing mathematical functions by intelligently selecting key points in parameter space for efficient parallel evaluations.