Continual Horizontal Federated Learning for Heterogeneous Data. - Junki Mori; Isamu Teranishi; Ryo Furukawa 003 (IJCNN, 2022)

Knowledge Cross-Distillation for Membership Privacy. - Rishav Chourasia; Batnyam Enkhtaivan; Kunihiro Ito; Junki Mori; Isamu Teranishi; Hikaru Tsuchida 001 (Proc. Priv. Enhancing Technol., 2022)

Heterogeneous Domain Adaptation with Positive and Unlabeled Data. - Junki Mori; Ryo Furukawa 003; Isamu Teranishi; Jun Sakuma (IEEE Big Data, 2023)

Personalized Federated Learning with Multi-branch Architecture. - Junki Mori; Tomoyuki Yoshiyama; Ryo Furukawa 003; Isamu Teranishi (IJCNN, 2023)

Survey of Privacy Threats and Countermeasures in Federated Learning. - Masahiro Hayashitani; Junki Mori; Isamu Teranishi (CoRR, 2024)

Federated Source-Free Domain Adaptation for Classification: Weighted Cluster Aggregation for Unlabeled Data. - Junki Mori; Kosuke Kihara; Taiki Miyagawa; Akinori F. Ebihara; Isamu Teranishi; Hisashi Kashima (WACV, 2025)