Screen LibraryAdvances and open problems in federated learning /
Saved in:
| Main Authors: | |
|---|---|
| Group Author: | |
| Published: |
Now,
|
| Publisher Address: | Boston, MA : |
| Publication Dates: | [2021] |
| Literature type: | Book |
| Language: | English |
| Series: |
Foundations and trends in machine learning,
14:1-2 |
| Subjects: | |
| Item Description: | This book is originally published as Foundations and trends in machine learning. |
| Carrier Form: | 214 pages : illustrations ; 24 cm. |
| Bibliography: | Includes bibliographical references (pages 163-214). |
| ISBN: |
9781680837889 1680837885 |
| CLC: | TP181 |
| Call Number: | TP181/K134 |
| Contents: | 1. Introduction 2. Relaxing the Core FL Assumptions: Applications to Emerging Settings and Scenarios 3. Improving Efficiency and Effectiveness 4. Preserving the Privacy of User Data 5. Defending Against Attacks and Failures 6. Ensuring Fairness and Addressing Sources of Bias 7. Addressing System Challenges 8. Concluding Remarks Acknowledgments Appendices References. |