SPACE
by culiver
SPACE: Single-round Participant Amalgamation for Contribution Evaluation in Federated Learning
AI summary
Client Contribution Evaluator
A framework for evaluating contribution of individual clients in federated learning systems.
- stars
- 7
- forks
- 3
- watching
- 1
Similar projects
Found by comparing what the projects do, not just their names.
hkust-nlp/ceval1.7K
Evaluation suite
An evaluation suite providing multiple-choice questions for foundation models in various disciplines, with tools for assessing model performance.
Multimodal model evaluator
An open-source benchmark and evaluation tool for assessing multimodal large language models' performance in embodied decision-making tasks
Model Evaluator
A benchmarking framework for evaluating Large Multimodal Models by providing rigorous metrics and an efficient evaluation pipeline.
Multimodal model evaluator
Evaluating and improving large multimodal models through in-context learning
olical/conjure1.8K
Code evaluator
An interactive environment for evaluating code within a running program.
Exam evaluator
Evaluates foundation models on human-centric tasks with diverse exams and question types
Code evaluator
A build-time code evaluation tool for JavaScript
Skill evaluator
An online platform offering innovative evaluation and certification of digital skills
msracver/fcis1.6K
Instance segmentation framework
An implementation of a fully convolutional instance-aware semantic segmentation framework using CUDA.
Client selection method
Proposes a method for selecting a diverse subset of clients in federated learning to improve convergence and fairness
Model evaluator
Evaluates and compares the performance of multimodal large language models on various tasks
Federated learner
An adaptive federated learning framework for heterogeneous clients with resource constraints.
Federated learning framework
An implementation of Fair and Consistent Federated Learning using Python.
RAG evaluator
An evaluation tool for Retrieval-augmented Generation methods
Participant selection script
This repository provides scripts and instructions for reproducing experiments on efficient federated learning via guided participant selection