FedCP-QQ
Quantile-based federated predictor
An implementation of a federated conformal prediction method using quantile-of-quantiles for making predictions on private datasets
Federated Conformal Prediction with Quantile-of-Quantiles (FedCP-QQ)
11 stars
3 watching
3 forks
Language: Jupyter Notebook
last commit: over 1 year ago Related projects:
Repository | Description | Stars |
---|---|---|
clu5/federated-conformal | A framework for incorporating uncertainty quantification into federated learning models | 10 |
omarfoq/fedem | Develops and evaluates federated learning algorithms for personalizing machine learning models across heterogeneous client data distributions. | 154 |
localminimum/qanet | An implementation of Google's QANet for machine reading comprehension using TensorFlow. | 983 |
locuslab/qpth | A solver for optimizing quadratic programs in deep learning and other fields. | 685 |
chunmeifeng/fedpr | An algorithm for learning federated visual prompts in null space to improve MRI reconstruction performance on limited local data and reduced communication costs | 42 |
alshedivat/fedpa | A modular JAX implementation of federated learning via posterior averaging for decentralized optimization | 49 |
ljb121002/fednar | A Python implementation of federated optimization algorithm with normalized annealing regularization. | 6 |
pythoncharmers/quantfinance | A comprehensive training platform providing educational materials and resources for quantitative finance concepts taught through Jupyter Notebooks. | 396 |
umbc-sanjaylab/fedpseudo_kdd23 | This repository provides an implementation of federated survival analysis using a deep learning framework. | 0 |
senya-ashukha/quantile-regression-dqn-pytorch | An implementation of a reinforcement learning algorithm using quantile regression to model distributional behavior in agent-environment interactions. | 94 |
rqc-qapp/quantumcomputingbot | A Python-based bot that monitors IBM Q processors and provides monitoring data through Slack and Telegram. | 22 |
lyn1874/fedpvr | An implementation of a federated learning algorithm for handling heterogeneous data | 6 |
jackqqwang/pfedhr | A Python project implementing a novel approach to high-performance feature learning and dimensionality reduction in deep neural networks | 7 |
hongliny/sharp-bounds-for-fedavg-and-continuous-perspective | This project provides mathematical bounds on the performance of Federated Averaging algorithms with Local SGD and Continuous Perspective | 4 |
qi-pang/federated-correlation-test | An evaluation framework for federated correlation tests and entropy estimation in various domains | 8 |