  Proactive handover can avoid frequent handovers and reduce handover delay,
which plays an important role in maintaining the quality of service (QoS) for
mobile users in millimeter-wave vehicular networks. To reduce the communication
cost of training the learning model for proactive handover, we propose a
federated learning (FL) framework. The proposed FL framework can accommodate
the limited storage capacity of each user, increase the number of users who
participate in the FL, and adapt to the dynamic mobility pattern. Simulation
results validate the effectiveness of the proposed FL framework. Compared to
reactive handover schemes, the proposed handover scheme can reduce unnecessary
handovers and improve the QoS of users simultaneously.
