Showing results 3 to 6 of 6
FedDefender: Client-Side Attack-Tolerant Federated Learning Park, Sungwon; Han, Sungwon; Wu, Fangzhao; Kim, Sundong; Zhu, Bin; Xie, Xing; Cha, Meeyoung, KDD '23: The 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, pp.1850 - 1861, ACM, 2023-08-08 |
FedX: Unsupervised Federated Learning with Cross Knowledge Distillation Han, Sungwon; Park, Sungwon; Wu, Fangzhao; Kim, Sundong; Wu, Chuhan; Xie, Xing; Cha, Meeyoung, European Conference on Computer Vision, ECCV 2022, pp.691 - 707, European Computer Vision Association, 2022-10-23 |
Self-explaining deep models with logic rule reasoning Lee, Seungeon; Wang, Xiting; Han, Sungwon; Yi, Xiaoyuan; Xie, Xing; Cha, Meeyoung, 36th Annual Conference on Neural Information Processing Systems (NeurIPS 2022), Neural Information Processing Systems (NeurIPS), 2022-12 |
Towards Attack-tolerant Federated Learning via Critical Parameter Analysis Han, Sungwon; Park, Sungwon; Wu, Fangzhao; Kim, Sundong; Zhu, Bin; Xie, Xing; Cha, Meeyoung, International Conference on Computer Vision, ICCV 2023, IEEE/Computer Vision Foundation, 2023-10-04 |
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