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開始行:
[[AIRBiS Project]]
----
CENTER:COLOR(#990055){SIZE(40){''Research on Collaborative Learning Algorithm for AI Enabled Real time Biomedical System (AIRBiS) [AI対応のリアルタイム医療システム(AIRBiS)のための連邦学習に関する研究]''}}
----
*AIRBiS progress meeting [#f5568590]
-[[AIRBiS Minutes]]
----
*Background [#hdf7ab88]
AIRBiS project goal is to do pneumonia detection and analysis by using Convolutional Neural Network(CNN) on lung x-ray images. But, due to the nature of the distribution of data amongst hospitals and privacy concerns for hospitals as well as patients, a conventional approach of centralized training would not work in this kind of setting. To solve this problem, Federated learning is adopted to collaborate across multi-edge nodes without sharing the raw data and achieve good decentralized training results.
*Research Goal [#peb277c4]
-Research and implementation of CNN (software) based on
federated learning model that helps preserve the data
privacy of users. It also reduces the burden of the
aggregator (e.g., our FPGA-cluster, which is located in the
hospital)
-Implement the communication protocol between server and clients (hospital), which allows the local training
and data (parameters) exchange.
-Implement the user interface at client side, which controls
the whole pipeline including the training, inference and
communication procedures.
CENTER:&ref(federated_system_architecture.PNG,,50%);
*Research Schedule [#q0b5e376]
|Date|Task|
|☑️June 1 - June 30, 2020|Run demos, Read papers and books, Understand the basic concepts of CNN and federated learning|
|☑️July 1 - July 31, 2020|Do basic CNN and federated learning tutorials & implement own simple CNN and federated learning system|
|☑️August 1 - September 30, 2020|Explore different optimization options|
|☑️September 20 - October 10, 2020|Prepare for mid-term presentation|
|☑️October 1 - November 22, 2020|Implement communication between FL system with UI & Optimization|
|☑️October 10 - December 20, 2020|Write paper to [[International ACM conference>https://etltc-acmchap-japanconf.org/]]|
|☑️December 21 - January 31, 2021|Revise conference paper and write graduation thesis.|
|☑️February 1 - February 16, 2021|Prepare for graduation thesis presentation.|
|☑️February 1 - February 28, 2021|Prepare for final submission for conference paper|
CENTER:COLOR(red){''Schedule last Updated on: 02/03/2021 ''}
*Researech Progress [#m562b08f]
-06/29/2020: [[slide>https://drive.google.com/file/d/19QeyAbCLcPuwyMXQXsJhOhXoT0-R_wW9/view?usp=sharing]], [[pptx>https://docs.google.com/presentation/d/1m3J_hSQFZR4fCX5vqbkvUmdpm_pQpEhcz8lSL3X6mcM/edit?usp=sharing]]
-07/31/2020: [[slide>https://drive.google.com/file/d/1evSQGgFkubE3QFv1a0rflj1KMTla-uxl/view?usp=sharing]], [[pptx>https://docs.google.com/presentation/d/18wYTyfkuXeE3S5U86sgxK1R3GbyM6bjs7eVGv-y2OJ0/edit?usp=sharing]]
-08/31/2020: [[slide>https://drive.google.com/file/d/1SlbHTpbKBO6mfgHClsOduv4_k8XB-UF9/view?usp=sharing]], [[pptx>https://docs.google.com/presentation/d/1lG9TPxh_tsoibOIrgZfYRbjZOKL4_EDQLMJtX2LRH9M/edit?usp=sharing]], [[report>https://drive.google.com/file/d/17qgJFuIF5fabbV8294QPpwDOPLqX4xud/view?usp=sharing]], [[doc>https://drive.google.com/file/d/1HJH5-7I4Dx9GzzE9V_hvn9cQsLY1tXZU/view?usp=sharing]]
-09/30/2020: [[pdf>https://drive.google.com/file/d/1mm2fIH5BEpzbk3LMDu9NvnY-L4UZ_v63/view?usp=sharing]], [[doc>https://drive.google.com/file/d/1zMA9JnnTy4WhUX9TtUf6BfrqOLldMPNb/view?usp=sharing]]
-10/30/2020: [[pdf>https://drive.google.com/file/d/1vKTzM1Rr9J91XMOeXEgPOM_d0LYkKhFr/view?usp=sharing]], [[doc>https://drive.google.com/file/d/1u1OmSHIvT3-ogQ3ig9xrUTexBm6hC-zw/view?usp=sharing]]
*References [#f5a18ef1]
-[[My Shared Google Drive>https://drive.google.com/drive/folders/1aD5PMzSzYocNhVZzDBJUWOMDj5v9eg7G?usp=sharing]]
終了行:
[[AIRBiS Project]]
----
CENTER:COLOR(#990055){SIZE(40){''Research on Collaborative Learning Algorithm for AI Enabled Real time Biomedical System (AIRBiS) [AI対応のリアルタイム医療システム(AIRBiS)のための連邦学習に関する研究]''}}
----
*AIRBiS progress meeting [#f5568590]
-[[AIRBiS Minutes]]
----
*Background [#hdf7ab88]
AIRBiS project goal is to do pneumonia detection and analysis by using Convolutional Neural Network(CNN) on lung x-ray images. But, due to the nature of the distribution of data amongst hospitals and privacy concerns for hospitals as well as patients, a conventional approach of centralized training would not work in this kind of setting. To solve this problem, Federated learning is adopted to collaborate across multi-edge nodes without sharing the raw data and achieve good decentralized training results.
*Research Goal [#peb277c4]
-Research and implementation of CNN (software) based on
federated learning model that helps preserve the data
privacy of users. It also reduces the burden of the
aggregator (e.g., our FPGA-cluster, which is located in the
hospital)
-Implement the communication protocol between server and clients (hospital), which allows the local training
and data (parameters) exchange.
-Implement the user interface at client side, which controls
the whole pipeline including the training, inference and
communication procedures.
CENTER:&ref(federated_system_architecture.PNG,,50%);
*Research Schedule [#q0b5e376]
|Date|Task|
|☑️June 1 - June 30, 2020|Run demos, Read papers and books, Understand the basic concepts of CNN and federated learning|
|☑️July 1 - July 31, 2020|Do basic CNN and federated learning tutorials & implement own simple CNN and federated learning system|
|☑️August 1 - September 30, 2020|Explore different optimization options|
|☑️September 20 - October 10, 2020|Prepare for mid-term presentation|
|☑️October 1 - November 22, 2020|Implement communication between FL system with UI & Optimization|
|☑️October 10 - December 20, 2020|Write paper to [[International ACM conference>https://etltc-acmchap-japanconf.org/]]|
|☑️December 21 - January 31, 2021|Revise conference paper and write graduation thesis.|
|☑️February 1 - February 16, 2021|Prepare for graduation thesis presentation.|
|☑️February 1 - February 28, 2021|Prepare for final submission for conference paper|
CENTER:COLOR(red){''Schedule last Updated on: 02/03/2021 ''}
*Researech Progress [#m562b08f]
-06/29/2020: [[slide>https://drive.google.com/file/d/19QeyAbCLcPuwyMXQXsJhOhXoT0-R_wW9/view?usp=sharing]], [[pptx>https://docs.google.com/presentation/d/1m3J_hSQFZR4fCX5vqbkvUmdpm_pQpEhcz8lSL3X6mcM/edit?usp=sharing]]
-07/31/2020: [[slide>https://drive.google.com/file/d/1evSQGgFkubE3QFv1a0rflj1KMTla-uxl/view?usp=sharing]], [[pptx>https://docs.google.com/presentation/d/18wYTyfkuXeE3S5U86sgxK1R3GbyM6bjs7eVGv-y2OJ0/edit?usp=sharing]]
-08/31/2020: [[slide>https://drive.google.com/file/d/1SlbHTpbKBO6mfgHClsOduv4_k8XB-UF9/view?usp=sharing]], [[pptx>https://docs.google.com/presentation/d/1lG9TPxh_tsoibOIrgZfYRbjZOKL4_EDQLMJtX2LRH9M/edit?usp=sharing]], [[report>https://drive.google.com/file/d/17qgJFuIF5fabbV8294QPpwDOPLqX4xud/view?usp=sharing]], [[doc>https://drive.google.com/file/d/1HJH5-7I4Dx9GzzE9V_hvn9cQsLY1tXZU/view?usp=sharing]]
-09/30/2020: [[pdf>https://drive.google.com/file/d/1mm2fIH5BEpzbk3LMDu9NvnY-L4UZ_v63/view?usp=sharing]], [[doc>https://drive.google.com/file/d/1zMA9JnnTy4WhUX9TtUf6BfrqOLldMPNb/view?usp=sharing]]
-10/30/2020: [[pdf>https://drive.google.com/file/d/1vKTzM1Rr9J91XMOeXEgPOM_d0LYkKhFr/view?usp=sharing]], [[doc>https://drive.google.com/file/d/1u1OmSHIvT3-ogQ3ig9xrUTexBm6hC-zw/view?usp=sharing]]
*References [#f5a18ef1]
-[[My Shared Google Drive>https://drive.google.com/drive/folders/1aD5PMzSzYocNhVZzDBJUWOMDj5v9eg7G?usp=sharing]]
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