I. INTRODUCTION
A. PREAMBLE
B. PURPOSE AND UNIQUENESS
C. IoFT WEBSITE AND CENTRAL DIRECTORY
II. INTERNET OF THINGS: THE PAST, PRESENT AND FUTURE
B. IoT: THE FUTURE
III. LEARNING A GLOBAL MODEL
A. A GENERAL FRAMEWORK FOR FL
B. TACKLING HETEROGENEITY
C. EFFICIENT & EFFECTIVE OPTIMIZATION
D. SAMPLING CLIENTS
E. FAIRNESS ACROSS CLIENTS
IV. LEARNING A PERSONALIZED MODEL
A. FULLY PERSONALIZED
B. SEMI-PERSONALIZED
V. META-LEARNING
A. FREQUENTIST PERSPECTIVE
B. BAYESIAN PERSPECTIVE
VI. STATISTICAL AND OPTIMIZATION PERSPECTIVE
A. STATISTICAL PERSPECTIVE
B. OPTIMIZATION PERSPECTIVE
VII. APPLICATIONS
A. MANUFACTURING
B. TRANSPORTATION
C. ENERGY
D. HEALTHCARE
E. BUSINESS
F. QUALITY ENGINEERING
G. COMPUTING
H. RELIABILITY