Handbook on Federated Learning: Advances, Applications and Opportunities [First Edition] 9781032471624, 9781032471631, 9781003384854
Mobile, wearable, and self-driving telephones are just a few examples of modern distributed networks that generate enorm
116 46 16MB
English Pages 363 Year 2023
Table of contents :
Introduction to Federated Learning Methods and Classifications
Shashikiran Venkatesha and Ramanathan Lakshmanan
Federated Data Model - Go Local, Go Global and Go Fusion - In an Industry 4.0 Context
Daniel Einarson and Charlotte Sennersten
Federated Learning Architectures, Opportunities, and Applications
Pradipta kumar Mishra, Rabinarayan Satapathy and Debashreet Das
Secure and Private Federated Learning through Encrypted Parameter Aggregation
K Vijayalakshmi, PM Sitharselvam, I Thamarai, J Ashok, Goski Sathish and S Mayakannan
Navigating Privacy Concerns in Federated Learning A GDPR-Focused Analysis
G Anitha and A Jegatheesan
A Federated Learning Approach for ResourceConstrained IoT Security Monitoring
P Sakthibalan, M Saravanan, V Ansal, Amuthakkannan Rajakannu, K Vijayalakshmi and K Divya Vani
Efficient Federated Learning Techniques for Data Loss Prevention in Cloud Environment
A Peter Soosai Anandaraj, S Sridevi, R Vaishnavi, M Meenalakshimi and RV Chandrashekhar
Maximizing Fog Computing Efficiency with Federated Multi-Agent Deep Reinforcement Learning
G Anitha and A Jegatheesan
Future of Medical Research with a Data-driven Federated Learning Approach
G Arun Sampaul Thomas, S Muthukaruppasamy, S Sathish Kumar and K Saravanan
Collaborative Federated Learning in Healthcare Systems
Bini M Issac and SN Kumar
Federated Learning for Efficient Cardiac Disease Prediction based on Hyper Spectral Feature Selection using Deep Spectral Convolution Neural Network
B Dhiyanesh, G Kiruthiga, P Saraswathi, Gomathi S and R Radha
A Federated Learning based Alzheimer's Disease Prediction
S Suchitra, N Senthamarai, M Jeyaselvi and RJ Poovaraghan
Detecting Device Sensors of Luxury Hotels using Blockchain-based Federated Learning to Increase Customer Satisfaction
Moyeenudin HM, Shaik Javed Parvez, Jose Anand A, Anandan R and Sam Goundar
Navigating the Complexity of Macro-Tasks Federated Learning as a Catalyst for Effective Crowd Coordination
S Mayakannan, N Krishnamurthy, K Vimala Devi, R Deepalakshmi, Sandya Rani and Jose Anand A
Stock Market Prediction via Twitter Sentiment Analysis using BERT A Federated Learning Approach
M Rajeev Kumar, S Ramkumar, S Saravanan, R Balakrishnan and M Swathi
Index
Introduction to Federated Learning Methods and Classifications
Shashikiran Venkatesha and Ramanathan Lakshmanan
Federated Data Model - Go Local, Go Global and Go Fusion - In an Industry 4.0 Context
Daniel Einarson and Charlotte Sennersten
Federated Learning Architectures, Opportunities, and Applications
Pradipta kumar Mishra, Rabinarayan Satapathy and Debashreet Das
Secure and Private Federated Learning through Encrypted Parameter Aggregation
K Vijayalakshmi, PM Sitharselvam, I Thamarai, J Ashok, Goski Sathish and S Mayakannan
Navigating Privacy Concerns in Federated Learning A GDPR-Focused Analysis
G Anitha and A Jegatheesan
A Federated Learning Approach for ResourceConstrained IoT Security Monitoring
P Sakthibalan, M Saravanan, V Ansal, Amuthakkannan Rajakannu, K Vijayalakshmi and K Divya Vani
Efficient Federated Learning Techniques for Data Loss Prevention in Cloud Environment
A Peter Soosai Anandaraj, S Sridevi, R Vaishnavi, M Meenalakshimi and RV Chandrashekhar
Maximizing Fog Computing Efficiency with Federated Multi-Agent Deep Reinforcement Learning
G Anitha and A Jegatheesan
Future of Medical Research with a Data-driven Federated Learning Approach
G Arun Sampaul Thomas, S Muthukaruppasamy, S Sathish Kumar and K Saravanan
Collaborative Federated Learning in Healthcare Systems
Bini M Issac and SN Kumar
Federated Learning for Efficient Cardiac Disease Prediction based on Hyper Spectral Feature Selection using Deep Spectral Convolution Neural Network
B Dhiyanesh, G Kiruthiga, P Saraswathi, Gomathi S and R Radha
A Federated Learning based Alzheimer's Disease Prediction
S Suchitra, N Senthamarai, M Jeyaselvi and RJ Poovaraghan
Detecting Device Sensors of Luxury Hotels using Blockchain-based Federated Learning to Increase Customer Satisfaction
Moyeenudin HM, Shaik Javed Parvez, Jose Anand A, Anandan R and Sam Goundar
Navigating the Complexity of Macro-Tasks Federated Learning as a Catalyst for Effective Crowd Coordination
S Mayakannan, N Krishnamurthy, K Vimala Devi, R Deepalakshmi, Sandya Rani and Jose Anand A
Stock Market Prediction via Twitter Sentiment Analysis using BERT A Federated Learning Approach
M Rajeev Kumar, S Ramkumar, S Saravanan, R Balakrishnan and M Swathi
Index
![Handbook on Federated Learning: Advances, Applications and Opportunities [First Edition]
9781032471624, 9781032471631, 9781003384854](https://ebin.pub/img/200x200/handbook-on-federated-learning-advances-applications-and-opportunities-first-edition-9781032471624-9781032471631-9781003384854.jpg)
- Author / Uploaded
- Saravanan Krishnan
- A. Jose Anand
- R. Srinivasan
- R. Kavitha
- S. Suresh
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