leaf
Federated ML Benchmark
A benchmarking framework for federated machine learning tasks across various domains and datasets
Leaf: A Benchmark for Federated Settings
856 stars
22 watching
243 forks
Language: Python
last commit: over 1 year ago Related projects:
Repository | Description | Stars |
---|---|---|
lins-lab/fedbr | An implementation of federated learning algorithm to reduce local learning bias and improve convergence on heterogeneous data | 25 |
szilard/benchm-ml | A benchmark for evaluating machine learning algorithms' performance on large datasets | 1,874 |
lunanbit/fedul | This project presents an approach to federated learning that leverages unsupervised techniques to adapt models to unlabeled data without requiring labels. | 33 |
pengyang7881187/fedrl | Enabling multiple agents to learn from heterogeneous environments without sharing their knowledge or data | 56 |
nikolaydubina/go-ml-benchmarks | A benchmarking project comparing performance of different machine learning inference frameworks and models on Go platform | 30 |
alshedivat/fedpa | A modular JAX implementation of federated learning via posterior averaging for decentralized optimization | 50 |
harliwu/fedamd | This project presents an approach to federated learning with partial client participation by optimizing anchor selection for improving model accuracy and convergence. | 2 |
litian96/fair_flearn | This project develops and evaluates algorithms for fair resource allocation in federated learning, aiming to promote more inclusive AI systems. | 244 |
yuetan031/fedproto | An implementation of federated learning with prototype-based methods across heterogeneous clients | 134 |
mediabrain-sjtu/pfedgraph | This project enables personalized federated learning with inferred collaboration graphs to improve the performance of machine learning models on non-IID (non-independent and identically distributed) datasets. | 26 |
tmlr-group/fedfed | An approach to mitigating data heterogeneity in federated learning by sharing partial features of the data. | 17 |
symbioticlab/fedscale | A federated learning platform with tools and datasets for scalable and extensible machine learning experimentation | 390 |
gingsmith/fmtl | A framework for collaborative learning across multiple tasks and datasets in a distributed manner | 130 |
dual-grp/fedu_fmtl | An implementation of federated multi-task learning with laplacian regularization across various datasets | 16 |
mediabrain-sjtu/fedgela | This project enables federated learning across partially class-disjoint data with curated bilateral curation. | 11 |