Proof-of-concept study: Homomorphically encrypted data can support real-time learning in personalized cancer medicine

Table 1 Experimental computing time (seconds) for identification of exceptional responders using addition across records of all included patients

Number of patients	Lambda (security measure in bits)	Multipli-cation depth	Time to encrypt vector for one variable	Time to add encrypted vector for all patients	Addition time multiplied by 100 variables per analysis	Time to decrypt results^a
1000	128	8	70.5	0.6	60	0.1
1000	256	8	142.7	1.2	120	0.2
1000	256	16	316.7	2.8	280	0.4
5000	128	8	234.2	1.8	180	0.1
5000	256	8	616.7	7.6	760	0.2
5000	256	16	1583.8	2512.2	25,120	0.8

^aThe final decryption times of the results occur only once at the end of each analysis. All times in seconds

ISSN: 1472-6947