IEEE VTC2020-Fallで新崎君、岩崎君、板原君、紀平君の論文が採択され，講演ビデオによる発表を行いました．

・Y. Kihira, Y. Koda, K. Yamamoto, T. Nishio, and M. Morikura, “Adversarial Reinforcement Learning-based Robust Access Point Coordination Against Uncoordinated Interference,” Proceedings of the 2020 Fall IEEE 92nd Vehicular Technology Conference, Victoria, B.C., Canada, Oct. 4-7, 2020.
・S Itahara, T. Nishio, M. Morikura, and K. Yamamoto, “Lottery Hypothesis based Unsupervised Pre-training for Model Compression in Federated Learning,” Proceedings of the 2020 Fall IEEE 92nd Vehicular Technology Conference, Victoria, B.C., Canada, Oct. 4-7, 2020.
・M. Iwasaki, T. Nishio, M. Morikura, and K. Yamamoto, “Transfer Learning-Based Received Power Prediction with Ray-tracing Simulation and Small Amount of Measurement Data,” Proceedings of the 2020 Fall IEEE 92nd Vehicular Technology Conference, Victoria, B.C., Canada, Oct. 4-7, 2020.
・M. Shinzaki, Y. Koda, K. Yamamoto, T. Nishio, M. Morikura, C.-H. Huang, Y. Shirato, and N. Kita, “Deep Reinforcement Learning-based Beam Tracking from mmWave Antennas Installed on Overhead Messenger Wires,” Proc. the 2020 Fall IEEE 92nd Vehicular Technology Conference, Victoria, B.C., Canada, Oct. 4-7, 2020.