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Distributed Machine Learning Patterns from Manning Publications by Yuan Tang https://bit.ly/2RKv8Zo
Created
2021-01-15
85 commits to main branch, last one 5 months ago
This is suite of the hands-on training materials that shows how to scale CV, NLP, time-series forecasting workloads with Ray.
This repository has been archived
(exclude archived)
Created
2022-09-16
146 commits to main branch, last one 4 months ago
32
135
mit
2
[ICLR 2021] HeteroFL: Computation and Communication Efficient Federated Learning for Heterogeneous Clients
Created
2019-11-23
84 commits to master branch, last one about a year ago
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...
Created
2023-05-14
146 commits to main branch, last one 6 months ago
GeoMX: A fast and unified system for distributed machine learning over geo-distributed data centers.
Created
2021-04-29
463 commits to main branch, last one 3 months ago
Paddle with Decentralized Trust based on Xuperchain
Created
2021-11-12
336 commits to master branch, last one about a month ago
A curated list of Federated Learning papers/articles and recent advancements.
non-iid
awesome-list
data-privacy
deep-learning
healthcare-data
machine-learning
life-science-data
federated-learning
healthcare-imaging
healthcare-datasets
medical-data-pipeline
artifical-intelligense
awesome-machine-learning
deep-learning-healthcare
machine-learning-privacy
machine-learning-healthcare
vertical-federated-learning
distributed-machine-learning
healthcare-federated-learning
blockchain-medical-applications
Created
2020-12-16
24 commits to main branch, last one about a year ago
sensAI: ConvNets Decomposition via Class Parallelism for Fast Inference on Live Data
Created
2019-03-05
163 commits to master branch, last one 3 years ago
Distributed Bayesian Entity Resolution in Apache Spark
Created
2018-08-27
152 commits to master branch, last one 3 years ago
🔨 A toolbox for federated learning, aiming to provide implementations of FedAvg, FedProx, Ditto, etc. in multiple versions, such as Pytorch/Tensorflow, single-machine/distributed, synchronized/asynch...
Created
2020-10-04
40 commits to master branch, last one 8 months ago