distributed-machine-learning topic
distributed-ml-patterns
Distributed Machine Learning Patterns from Manning Publications by Yuan Tang https://bit.ly/2RKv8Zo
sensAI
sensAI: ConvNets Decomposition via Class Parallelism for Fast Inference on Live Data
PaddleDTX
Paddle with Decentralized Trust based on Xuperchain
Aweome-Heathcare-Federated-Learning
A curated list of Federated Learning papers/articles and recent advancements.
ATOMO
Atomo: Communication-efficient Learning via Atomic Sparsification
HeteroFL-Computation-and-Communication-Efficient-Federated-Learning-for-Heterogeneous-Clients
[ICLR 2021] HeteroFL: Computation and Communication Efficient Federated Learning for Heterogeneous Clients
MLBD
Materials for "Machine Learning on Big Data" course
FedERA
FedERA is a modular and fully customizable open-source FL framework, aiming to address these issues by offering comprehensive support for heterogeneous edge devices and incorporating both standalone a...
Distributed-ML-PySpark
🔨 使用Spark/Pytorch实现分布式算法，包括图/矩阵计算（graph/matrix computation）、随机算法、优化（optimization）和机器学习。参考刘铁岩《分布式机器学习》和CME 323课程