Table 7 Values for throughput by varying data size.
From: A secure and efficient blockchain enabled federated Q-learning model for vehicular Ad-hoc networks
Throughput (KB/s) | ||||
|---|---|---|---|---|
Data size | FedAvg | FPPDL | DRAM-BFL | Proposed |
10 | 16712.33 | 17808.22 | 19726.03 | 20547.95 |
20 | 22739.73 | 21917.81 | 26027.4 | 25753.42 |
30 | 30410.96 | 26301.37 | 32054.79 | 32876.71 |
40 | 35890.41 | 29041.1 | 38356.16 | 41095.89 |
50 | 43013.7 | 35616.44 | 48767.12 | 50410.96 |
60 | 50684.93 | 41917.81 | 57260.27 | 60273.97 |
70 | 57534.25 | 48767.12 | 66027.4 | 71232.88 |
80 | 65753.42 | 55890.41 | 76438.36 | 81095.89 |
90 | 72876.71 | 62465.75 | 85205.48 | 92602.74 |
100 | 79178.08 | 66027.4 | 93972.6 | 102465.8 |
