FedShop
Federated Query Benchmark
A benchmark for testing the scalability of SPARQL federation engines in e-commerce scenarios
Code for FedShop: The Federated Shop Benchmark
8 stars
4 watching
2 forks
Language: Jupyter Notebook
last commit: 6 months ago
Linked from 1 awesome list
Related projects:
Repository | Description | Stars |
---|---|---|
| An index-assisted federation engine for optimizing queries across multiple SPARQL endpoints | 18 |
| Personalized Subgraph Federated Learning framework for distributed machine learning | 45 |
| A benchmarking framework for federated machine learning tasks across various domains and datasets | 856 |
| Federated learning algorithm that adapts to non-IID data by decoupling and correcting for local drift | 81 |
| A proof-of-concept demo that implements a React-like declarative UI API for F# | 0 |
| A collection of tools and tests for evaluating the performance of federated machine learning systems | 1 |
| Federation infrastructure for distributed RDF data sources using SPARQL queries and statistical analysis of VoiD descriptions. | 5 |
| A collection of research projects exploring decentralized machine learning and analytics techniques | 695 |
| This project develops an approach to improve out-of-distribution detection in federated learning by leveraging data heterogeneity | 18 |
| Develops an alignment framework for federated learning with non-identical client class sets | 4 |
| An implementation of federated learning with prototype-based methods across heterogeneous clients | 134 |
| Evaluates various methods for federated learning on different models and tasks. | 19 |
| An implementation of algorithms for nonconvex federated learning optimization | 8 |
| Develops and evaluates federated learning algorithms for personalizing machine learning models across heterogeneous client data distributions. | 157 |
| A lightweight benchmarking framework with a simple statistical model | 80 |