To　address　the　problem　of　communication　quality　degradation　due　to　inter-link　interference　in　unmanned　aerial　vehicle　(UAV)　network,　a　joint　beamforming　and　power　allocation　(JBPA)　optimization　model　is　developed　to　maximize　the　spectrum　efficiency　(SE)　and　energy　efficiency　(EE)　of　UAV　systems　under　the　premise　of　ensuring　the　quality　of　service　(QoS)　from　the　space　and　power　domains.　Then,　a　JBPA　strategy　based　on　federated　dueling　DQN　(F-DDQN)　learning　algorithm,　which　is　an　effective　technology　to　handle　communication　costs　and　data　privacy,　is　designed　to　solve　the　presented　optimization　model.　Simulation　results　show　that　the　proposed　F-DDQN　based　JBPA　strategy　improves　the　spectrum　efficiency　and　energy　efficiency　of　UAV　network,　and　has　the　advantage　of　rapid　convergence.　©　2023　IEEE.