IEEE FEDERATED MACHINE LEARNING WHITE PAPER ..................................... 5 ABSTRACT ............................................................................................................. 5 1. DATA PRIVACY POROTECTION AND FEDERATED MACHINE LEARNING ..... 6 1.1. D ATA I SOLATION AND PRIVACY PROTECTION ................................................ 6 1.2. F EDERATED MACHINE LEARNING FOR DATA PRIVACY PROTECTION ..................... 6 1.3. W HY IEEE F EDERATED M ACHINE L EARNING (IEEE S TD 3652.1-2020) ............ 7 2. FRAMEWORK AND CATEGORIZATION OF FEDERATED MACHINE LEARNING ............................................................................... 7 3. APPLICATIONS OF FEDERATED MACHINE LEARNING .............................. 10 3.1. F INANCE ............................................................................................. 10 3.2. T ELECOMMUNICATIONS ......................................................................... 10 3.3. H EALTHCARE ....................................................................................... 11 3.4. E DUCATION ......................................................................................... 11 3.5. U RBAN COMPUTING .............................................................................. 13 3.6. G OVERNMENT SERVICES ......................................................................... 14