Accepted Papers

Oral

1. Subgraph Federated Learning for Local Generalization. Sungwon Kim, Yoonho Lee, Carl Yang, Yunhak Oh, Namkyeong Lee, Sukwon Yun, Junseok Lee, Sein Kim, Chanyoung Park

Poster

2. Cooperative Multiple Model Training for Personalized Federated Learning over Heterogeneous Devices. Jian Xu, Shuo Wan, Yinchuan Li, Zhilin Chen, yunfeng shao, Zhitang Chen, Shao-Lun Huang
3. Towards Federated Learning with on-device Training and Communication in 8-bit Floating Point. Bokun Wang, Axel Berg, Durmus Alp Emre Acar, Chuteng Zhou
4. FedDr+: Stabilizing Dot-regression with Global Feature Distillation for Federated Learning. Seongyoon Kim, Minchan Jeong, Sungnyun Kim, Sungwoo Cho, Sumyeong Ahn, Se-Young Yun
5. FlatLand: Personalized Federated Learning via Tailored Lorentz Space. Jiahong Liu, Xinyu Fu, Menglin Yang, Weixi Zhang, Rex Ying, Irwin King
6. FedLDCS: Adaptive Divergence-Based Client Selection for Federated Learning. Shiyue Hou, Zhenglun Kong
7. An Overlapping Coalition Game for Individual Utility Maximization in Federated Learning. Yan Gong, Bing Luo, Chuang Hu, Dazhao Cheng