federated-learning

13 progetti condividono questo topic GitHub

Le linee collegano membri che sono misurabilmente correlati tra loro. La dimensione dei punti riflette le stelle.

🧬 Membri

A curated list of references for MLOps

Perform data science on data that remains in someone else's server

Flower: A Friendly Federated AI Framework

An Industrial Grade Federated Learning Framework

FEDML - The unified and scalable ML library for large-scale distributed training, model serving, and…

A unified framework for privacy-preserving data analysis and machine learning

Awesome-Federated-Machine-Learning

Everything about federated learning, including research papers, books, codes, tutorials, videos and beyond

Awesome-Federated-Learning

FedML - The Research and Production Integrated Federated Learning Library: https://fedml.ai

Comprehensive and timely academic information on federated learning (papers, frameworks, datasets, tutorials,…

Awesome-Model-Merging-Methods-Theories-Applications

Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities. ACM Computing…

Complete-Life-Cycle-of-a-Data-Science-Project

Complete-Life-Cycle-of-a-Data-Science-Project

Awesome-Distributed-Deep-Learning

A curated list of awesome Distributed Deep Learning resources.

Awesome-Forgetting-in-Deep-Learning

A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning. TPAMI, 2024.

🔗 Famiglie affini

privacy 61 continual-learning 16 transfer-learning 36 mlops 103 data-analysis 63 differential-privacy 5 distributed-computing 17 security 110

Misurato dai temi di GitHub condivisi da entrambi i progetti, ponderato in base a quanto è raro ciascun tema.