1 INTRODUCTION

2 TARGETS AND CHALLENGES OF FEDERATED UNLEARNING

3 PRELIMINARIES AND BACKGROUNDS

4 FEDERATED UNLEARNING METHODS

5 FEDERATED LEARNING TAILORED OPTIMIZATIONS, LIMITATIONS, AND APPLICATIONS

6 DISCUSSIONS AND PROMISING DIRECTIONS

7 CONCLUSIONS