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Books on the topic 'Federate learning'

Author: Grafiati

Published: 23 November 2024

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1

Yang, Qiang, Yang Liu, Yong Cheng, Yan Kang, Tianjian Chen, and Han Yu. Federated Learning. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-031-01585-4.

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2

Ludwig, Heiko, and Nathalie Baracaldo, eds. Federated Learning. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-96896-0.

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3

Yang, Qiang, Lixin Fan, and Han Yu, eds. Federated Learning. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-63076-8.

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4

Jin, Yaochu, Hangyu Zhu, Jinjin Xu, and Yang Chen. Federated Learning. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-7083-2.

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5

Uddin, M. Irfan, and Wali Khan Mashwani. Federated Learning. Boca Raton: CRC Press, 2024. http://dx.doi.org/10.1201/9781003466581.

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6

Sahoo, Jayakrushna, Mariya Ouaissa, and Akarsh K. Nair. Federated Learning. New York: Apple Academic Press, 2024. http://dx.doi.org/10.1201/9781003497196.

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7

Rehman, Muhammad Habib ur, and Mohamed Medhat Gaber, eds. Federated Learning Systems. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-70604-3.

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8

Goebel, Randy, Han Yu, Boi Faltings, Lixin Fan, and Zehui Xiong, eds. Trustworthy Federated Learning. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-28996-5.

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9

Razavi-Far, Roozbeh, Boyu Wang, Matthew E. Taylor, and Qiang Yang, eds. Federated and Transfer Learning. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-11748-0.

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10

Krishnan, Saravanan, A. Jose Anand, R. Srinivasan, R. Kavitha, and S. Suresh. Handbook on Federated Learning. Boca Raton: CRC Press, 2023. http://dx.doi.org/10.1201/9781003384854.

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11

Hong, Choong Seon, Latif U. Khan, Mingzhe Chen, Dawei Chen, Walid Saad, and Zhu Han. Federated Learning for Wireless Networks. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-4963-9.

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12

Yadav, Satya Prakash, Bhoopesh Singh Bhati, Dharmendra Prasad Mahato, and Sachin Kumar, eds. Federated Learning for IoT Applications. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-85559-8.

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13

Thai, My T., Hai N. Phan, and Bhavani Thuraisingham, eds. Handbook of Trustworthy Federated Learning. Cham: Springer International Publishing, 2025. http://dx.doi.org/10.1007/978-3-031-58923-2.

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14

Kaur, Amandeep, Chetna Kaushal, Md Mehedi Hassan, and Si Thu Aung. Federated Deep Learning for Healthcare. Boca Raton: CRC Press, 2024. http://dx.doi.org/10.1201/9781032694870.

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15

Lim, Wei Yang Bryan, Jer Shyuan Ng, Zehui Xiong, Dusit Niyato, and Chunyan Miao. Federated Learning Over Wireless Edge Networks. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-07838-5.

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16

Yu, Shui, and Lei Cui. Security and Privacy in Federated Learning. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-8692-5.

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17

Chen, Mingzhe, and Shuguang Cui. Communication Efficient Federated Learning for Wireless Networks. Cham: Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-51266-7.

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18

Tanwar, Sudeep, Ashwin Verma, and Pronaya Bhattacharya. Federated Learning for Internet of Medical Things. Boca Raton: CRC Press, 2023. http://dx.doi.org/10.1201/9781003303374.

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19

Kishor, Kaushal, Parma Nand, Vishal Jain, Neetesh Saxena, Gaurav Agarwal, and Rani Astya. Federated Learning for Smart Communication using IoT Application. Boca Raton: Chapman and Hall/CRC, 2024. http://dx.doi.org/10.1201/9781003489368.

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20

National Endowment for the Humanities. Lifelong learning. Washington, DC (1100 Pennsylvania Ave., NW, Washington 20506): National Endowment for the Humanities, 1995.

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21

Albarqouni, Shadi, Spyridon Bakas, Sophia Bano, M. Jorge Cardoso, Bishesh Khanal, Bennett Landman, Xiaoxiao Li, et al., eds. Distributed, Collaborative, and Federated Learning, and Affordable AI and Healthcare for Resource Diverse Global Health. Cham: Springer Nature Switzerland, 2022. http://dx.doi.org/10.1007/978-3-031-18523-6.

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22

ERIC Clearinghouse on Adult, Career, and Vocational Education., ed. Financial aid for lifelong learning. Columbus, OH: ERIC Clearinghouse on Adult, Career, and Vocational Education, Center on Education and Training for Employment, College of Education, the Ohio State University, 2001.

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23

Shaydenko, Nadezhda, and Svetlana Kipurova. Learning theory. ru: INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1077726.

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The textbook is devoted to one of the sections of pedagogy - the theory of learning. The leading issues are the content of education; forms, methods, means of teaching; forms of organization of training. The main attention is paid to the educational system of Russia and modern trends in the development of education. The study of the theory of learning is important not only for the future teacher to master the system of knowledge, but also for the formation of students' didactic competencies. To do this, in addition to theoretical material, the textbook contains a significant amount of practical tasks, material for consolidating what has been studied, test questions and tasks. Meets the requirements of the federal state educational standards of higher education of the latest generation. For undergraduate students studying in psychological and pedagogical specialties, as well as for undergraduates of pedagogical specialties who do not have a basic pedagogical education.

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24

Kashlev, Sergey. Interactive learning technology. ru: INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1033836.

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The educational and methodological manual examines interactive methods, the technology of interactive learning as an innovative pedagogical phenomenon, defines the features, content and structure of interactive methods, justifies the classification of interactive teaching methods, reveals the theoretical and methodological foundations of the use of interactive teaching methods in the pedagogical process, provides characteristics of about 70 individual interactive teaching methods, as well as the content of interactive classes, scientific and methodological seminars on pedagogy with students, listeners of the system of additional adult education. Meets the requirements of the federal state educational standards of higher education of the latest generation. For teachers and heads of institutions of secondary general education, additional education of children and youth, social educators, practical psychologists, students and teachers of pedagogical specialties of universities, undergraduates, postgraduates of psychological and pedagogical specialties, students of the system of advanced training and retraining of educational specialists, methodologists of educational institutions.

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25

McLean, John. Implementing the Social Union Framework Agreement: A learning and reference tool. [Ottawa]: Canadian Center for Management and Development, 2000.

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26

Chen, Tianjian, Qiang Yang, Yong Cheng, Yan Kang, and Yang Liu. Federated Learning. Morgan & Claypool Publishers, 2019.

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27

Yang, Qiang Qiang, Yang Yang Liu, Yong Yong Cheng, Yan Yan Kang, and Tianjian Tianjian Chen. Federated Learning. Springer International Publishing AG, 2019.

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28

Chen, Tianjian, Qiang Yang, Yong Cheng, Yan Kang, and Yang Liu. Federated Learning. Morgan & Claypool Publishers, 2019.

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29

Chen, Tianjian, Qiang Yang, Yong Cheng, Yan Kang, and Yang Liu. Federated Learning. Morgan & Claypool Publishers, 2019.

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30

Yu, Huiming. Federated Learning. Springer Nature, 2020.

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31

Federated and Transfer Learning. Springer International Publishing AG, 2023.

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32

Federated and Transfer Learning. Springer International Publishing AG, 2022.

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33

Han, Zhu, Dawei Chen, Choong Seon Hong, Latif U. Khan, and Mingzhe Chen. Federated Learning for Wireless Networks. Springer Singapore Pte. Limited, 2021.

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34

Yu, Han, Qiang Yang, and Lixin Fan. Federated Learning: Privacy and Incentive. Springer International Publishing AG, 2020.

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35

Bhati, Bhoopesh Singh. Federated Learning for IoT Applications. Springer International Publishing AG, 2023.

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36

Phan, Hai N. Handbook of Trustworthy Federated Learning. Springer International Publishing AG, 2024.

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37

Federated Learning for Wireless Networks. Springer, 2022.

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38

Nguyen, Lam M., Trong Nghia Hoang, and Pin-Yu Chen. Federated Learning: Theory and Practice. Elsevier Science & Technology Books, 2024.

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39

Kumar, Sachin, Satya Prakash Yadav, Dharmendra Prasad Mahato, and Bhoopesh Singh BHATI. Federated Learning for IoT Applications. Springer International Publishing AG, 2021.

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40

Drosatos, George, Pavlos S. Efraimidis, and Avi Arampatzis, eds. Federated and Transfer Learning Applications. MDPI, 2024. http://dx.doi.org/10.3390/books978-3-7258-0076-6.

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41

Federated Learning: Fundamentals and Advances. Springer, 2023.

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42

Federated Learning for Medical Imaging. Elsevier Science & Technology Books, 2024.

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43

Xu, Jinjin. Federated Learning: Fundamentals and Advances. Springer, 2023.

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44

AL. FEDERATED LEARNING TECHNIQUES and APPLN HB: FEDERATED LEARNING TECHNIQUES and APPLN HEALTHCARE INDUSTRY. World Scientific Publishing Co Pte Ltd, 2024.

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45

Federated Learning for Digital Healthcare Systems. Elsevier Science & Technology Books, 2024.

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46

Federated Learning for Digital Healthcare Systems. Elsevier Science & Technology, 2024.

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47

Federated Learning over Wireless Edge Networks. Springer International Publishing AG, 2023.

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48

Lim, Wei Yang Bryan, Jer Shyuan Ng, Zehui Xiong, Chunyan Miao, and Dusit Niyato. Federated Learning over Wireless Edge Networks. Springer International Publishing AG, 2022.

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49

Security and Privacy in Federated Learning. Springer, 2023.

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50

Security and Privacy in Federated Learning. Springer, 2024.

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