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Case AttributesDescriptionInformational
TypeNewNew 
Blueprint Family - Proposed NameThe AI Edge Blueprint Family
Use CaseFederated machine learning applications for edge devices
Blueprint proposed NameFederated ML application at edge
Initial POD Cost (capex)TBD
Scale & Type1 Arm/x86 server, unlimited Arm/x86 clients
Applications

Include but not limited to

  1. federated machine learning applications on smart mobile devices.
  2. federated machine learning applications on IoT devices. 

Power RestrictionsVaries
Infrastructure orchestrationThe cloud/network infrastructure: Containers, lightweight Kubernetes K3s, Kubernetes
ecosystem
Operating systems: Linux (CentOS, OpenEuler)
Container runtime Docker, KubeVirt for VMs

Workload TypeContainers/VMs
SDNFlannel for container networking
Additional DetailsNA

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Self Nominations begin on 16 April 2020 29 March 2021 and will conclude on 23 8 April 20202021

Y

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Self Nominate for PTL (Y/N)

Julie HanWeBank

siyanghan@webank.com




Inwinstackthor.c@inwinstack.com


BaiduIndividualzhanghechun@baidu

zhanghechun@gmail.com

 




dylan fanWeBankdylanfan@webank.com


zotrseeew maWeBankzotrseeewma@webank.com


mingchao tanWeBankmingchaotan@webank.com


hartin zhengWeBankhartinzheng@webank.comjarven shanWeBank


jarvenshan@webank.comsage weiWeBanksagewei@webank.com


yu wuWeBankyuwu@webank.com


weijing chenWeBankweijingchen@webank.com


jarvis zengWeBankjarviszeng@webank.com


kai dengWeBankkaideng@webank.comu tuWeBankutu@webank.com


nobs linWeBanknobslin@webank.com


jian chengWeBankjiancheng@webank.com


audrey gaoWeBankVMwareaudreygao@webankhenryzhang@vmware.com


Henry Zhanghaihui wangVMwareIBMhenryzhang@vmwarehaihwang@cn.ibm.com




Contributor

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Armtina.tsou@arm.com

Hai Hui WangIBMhaihwang@cn.ibm.com