A Coalition Formation Game Approach for Personalized Federated Learning. - Leijie Wu; Song Guo 001; Yaohong Ding; Yufeng Zhan; Jie Zhang 076 (CoRR, 2022)

Demystify Self-Attention in Vision Transformers from a Semantic Perspective: Analysis and Application. - Leijie Wu; Song Guo 001; Yaohong Ding; Junxiao Wang; Wenchao Xu 001; Richard Yida Xu; Jie Zhang 076 (CoRR, 2022)

Federated Unlearning: Guarantee the Right of Clients to Forget. - Leijie Wu; Song Guo 001; Junxiao Wang; Zicong Hong; Jie Zhang 076; Yaohong Ding (IEEE Netw., 2022)

QuickDrop: Efficient Federated Unlearning by Integrated Dataset Distillation. - Akash Balasaheb Dhasade; Yaohong Ding; Song Guo 001; Anne-Marie Kermarrec; Martijn de Vos; Leijie Wu (CoRR, 2023)

QuickDrop: Efficient Federated Unlearning via Synthetic Data Generation. - Akash Balasaheb Dhasade; Yaohong Ding; Song Guo 001; Anne-Marie Kermarrec; Martijn de Vos; Leijie Wu (Middleware, 2024)

Rethinking Personalized Client Collaboration in Federated Learning. - Leijie Wu; Song Guo 001; Yaohong Ding; Junxiao Wang; Wenchao Xu 001; Yufeng Zhan; Anne-Marie Kermarrec (IEEE Trans. Mob. Comput., 2024)