YangSemo

Pinned Repositories

FedOps
Language:Swift10
flower
Flower - A Friendly Federated Learning Framework
Language:Python10
spring_franchise
Language:JavaScript10
YangSemo
10
AI
00
Bletchley
블레츨리
00
crawling
Language:Python00
crawling_cafe
Language:Jupyter Notebook00
DjangoFranchise
Language:Python00
FedML
FedML - The federated and distributed machine learning library enabling machine learning anywhere at any scale. It's backed by FedML, Inc (https://FedML.ai). Supporting large-scale geo-distributed training, cross-device federated learning on smartphones/IoTs, cross-silo federated learning on data silos, and research simulation. Best Paper Award at NeurIPS 2020 Federated Learning workshop. FedML’s core technology is backed by years of cutting-edge research represented in 50+ publications in ML/FL Algorithms, Security/Privacy, Systems, and Applications, as well as 10 years of industrial experience in Distributed Systems, Cloud Computing, and Mobile/IoT Systems.
Language:Python00

YangSemo's Repositories

YangSemo/FedOps
Language:Swift1
YangSemo/FedOps-Silo
Language:Python
YangSemo/YangSemo
1
YangSemo/flower
Flower - A Friendly Federated Learning Framework
Language:Python1
YangSemo/just-the-docs
A modern, high customizable, responsive Jekyll theme for documentation with built-in search.
YangSemo/FedOpsSilo
Language:Python
YangSemo/mobile
Language:Python
YangSemo/PgmJun
프로필 꾸미기 레퍼지토리
YangSemo/fl-server-tf
Language:Python
YangSemo/Fedops_Server
Language:Python1
YangSemo/Pratical_Smart_Service
Language:Python
YangSemo/fl-client
Language:Python
YangSemo/FedOps_Test
Language:Python
YangSemo/SaMD
Language:Python
YangSemo/crawling_cafe
Language:Jupyter Notebook
YangSemo/FL
Language:Python
YangSemo/Health_Flower_Client_3
Language:Python
YangSemo/FedML
FedML - The federated and distributed machine learning library enabling machine learning anywhere at any scale. It's backed by FedML, Inc (https://FedML.ai). Supporting large-scale geo-distributed training, cross-device federated learning on smartphones/IoTs, cross-silo federated learning on data silos, and research simulation. Best Paper Award at NeurIPS 2020 Federated Learning workshop. FedML’s core technology is backed by years of cutting-edge research represented in 50+ publications in ML/FL Algorithms, Security/Privacy, Systems, and Applications, as well as 10 years of industrial experience in Distributed Systems, Cloud Computing, and Mobile/IoT Systems.
YangSemo/Flower_server
Language:Python
YangSemo/Flower_client
Language:Python
YangSemo/spring_franchise
Language:JavaScript1
YangSemo/spring_boot_project
Language:JavaScript
YangSemo/Mobile-Web
Language:HTML
YangSemo/image_server
Language:Python
YangSemo/Friendchai
Language:Jupyter Notebook
YangSemo/DjangoFranchise
Language:Python
YangSemo/jupyter_notebook
Language:Jupyter Notebook
YangSemo/Bletchley
블레츨리
YangSemo/Spring
Language:Java
YangSemo/pythonProject38