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