Research Article
BFLP: An Adaptive Federated Learning Framework for Internet of Vehicles
Algorithm 1
Horizontal federated learning: the base station executes.
Input: update parameters encrypted by CPC | Output: update parameters of the vehicle Uvehicle | 1: Decrypt ; | 2: Initialize ; | 3: for each round t = 1, 2, ... do | 4: e ⟵ max((Percentvehicle) · (K), 1); | 5: //Percentvehicle is percentage of vehicles selected each round. | 6: Ct ⟵ (random set of e vehicles); | 7: for each vehicle k ∈ Ct in parallel do | 8: ; | 9: end for | 10: ; | 11 | end for |
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