Ahmed Moustafa アーメドムスタファ

Researcher Number	50836616
Affiliation (based on the past Project Information) *help	2020 – 2021: 名古屋工業大学, 工学(系)研究科(研究院), 准教授
Review Section/Research Field	Principal Investigator Basic Section 62020:Web informatics and service informatics-related
Keywords	Principal Investigator Reinforcement Learning / Federated Learning / Service Composition / Cloud Services / Resource Management

Research Projects
(1 results)
Research Products
(10 results)

Intelligent Cloud Resource Management using Deep Reinforcement LearningPrincipal Investigator
- Principal Investigator
  
  Ahmed Moustafa
- Project Period (FY)
  2020 – 2021
- Research Category
  
  Grant-in-Aid for Early-Career Scientists
- Review Section
  
  Basic Section 62020:Web informatics and service informatics-related
- Research Institution
  Nagoya Institute of Technology

All 2021 2020

All Journal Article Presentation

[Journal Article] CEEP-FL: A comprehensive approach for communication efficiency and enhanced privacy in federated learning2021
- Author(s)
  Asad Muhammad、Moustafa Ahmed、Aslam Muhammad
- Journal Title
  
  Applied Soft Computing
  
  Volume: 104 Pages: 107235-107235
- DOI
  10.1016/j.asoc.2021.107235
- Peer Reviewed / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K19931
[Journal Article] THF:3-way Hierarchical Framework For Efficient Client Selection And Resource Management In Federated Learning2021
- Author(s)
  Muhammad Asad, Ahmed Moustafa, Fethi A.Rabhi, and Muhammad Aslam
- Journal Title
  
  IEEE Internet of Things Journal
  
  Volume: 10 Issue: 13 Pages: 19-32
- DOI
  10.1109/jiot.2021.3126828
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K19931
[Journal Article] PPCSA: Partial Participation-based Compressed and Secure Aggregation in Federated Learning2021
- Author(s)
  Ahmed Moustafa, Muhammad Asad, Saima Shaukat and Alexander Norta
- Journal Title
  
  Proceedings of the The International Conference on Advanced Information Networking and Applications (AINA-2021)
  
  Volume: 2 Pages: 345-357
- Peer Reviewed / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K19931
[Journal Article] On Learning Adaptive Service Compositions2021
- Author(s)
  Ahmed Moustafa
- Journal Title
  
  Journal of System Science and System Engineering
  
  Volume: 30(4) Pages: 465-481
- Peer Reviewed / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K19931
[Journal Article] Federated Learning Versus Classical Machine Learning: A Convergence Comparison2020
- Author(s)
  Muhammad Asad, Ahmed Moustafa and Takayuki Ito
- Journal Title
  
  Proceedings of The 15th International Conference on Knowledge, Information and Creativity Support System
  
  Volume: N/A
- Data Source
  KAKENHI-PROJECT-20K19931
[Presentation] PPCSA: Partial Participation-based Compressed and Secure Aggregation in Federated Learning2021
- Author(s)
  Ahmed Moustafa, Muhammad Asad, Saima Shaukat and Alexaner Norta
- Organizer
  The International Conference on Advanced Information Networking and Applications (AINA-2021)
- Data Source
  KAKENHI-PROJECT-20K19931
[Presentation] Yawing Detection under mask for Driver Monitor2021
- Author(s)
  Tomoya Matsubara, Ahmed Moustafa
- Organizer
  JSAI 人工知能学会全国大会
- Data Source
  KAKENHI-PROJECT-20K19931
[Presentation] PPCSA: Partial Participation-based Compressed and Secure Aggregation in Federated Learning2021
- Author(s)
  Ahmed Moustafa, Muhammad Asad, Saima Shaukat and Alexander Norta
- Organizer
  The International Conference on Advanced Information Networking and Applications (AINA-2021)
- Data Source
  KAKENHI-PROJECT-20K19931
[Presentation] Data-Driven Deep Reinforcement Learning Framework for Large-Scale Service Composition2021
- Author(s)
  Yuya Kondo, Ahmed Moustafa
- Organizer
  JSAI 人工知能学会全国大会
- Data Source
  KAKENHI-PROJECT-20K19931
[Presentation] Federated Learning Versus Classical Machine Learning: A Convergence Comparison2020
- Author(s)
  Muhammad Asad, Ahmed Moustafa and Takayuki Ito
- Organizer
  The 15th International Conference on Knowledge, Information and Creativity Support System
- Data Source
  KAKENHI-PROJECT-20K19931

Ahmed Moustafa アーメド ムスタファ

Research Projects

Research Products

Intelligent Cloud Resource Management using Deep Reinforcement LearningPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

[Journal Article] CEEP-FL: A comprehensive approach for communication efficiency and enhanced privacy in federated learning2021

Author(s)

Journal Title

DOI

Data Source

[Journal Article] THF:3-way Hierarchical Framework For Efficient Client Selection And Resource Management In Federated Learning2021

Author(s)

Journal Title

DOI

Data Source

[Journal Article] PPCSA: Partial Participation-based Compressed and Secure Aggregation in Federated Learning2021

Author(s)

Journal Title

Data Source

[Journal Article] On Learning Adaptive Service Compositions2021

Author(s)

Journal Title

Data Source

[Journal Article] Federated Learning Versus Classical Machine Learning: A Convergence Comparison2020

Author(s)

Journal Title

Data Source

[Presentation] PPCSA: Partial Participation-based Compressed and Secure Aggregation in Federated Learning2021

Author(s)

Organizer

Data Source

[Presentation] Yawing Detection under mask for Driver Monitor2021

Author(s)

Organizer

Data Source

[Presentation] PPCSA: Partial Participation-based Compressed and Secure Aggregation in Federated Learning2021

Author(s)

Organizer

Data Source

[Presentation] Data-Driven Deep Reinforcement Learning Framework for Large-Scale Service Composition2021

Author(s)

Organizer

Data Source

[Presentation] Federated Learning Versus Classical Machine Learning: A Convergence Comparison2020

Author(s)

Organizer

Data Source

Ahmed Moustafa アーメドムスタファ