More Like this

1. Taming Fat-Tailed (“Heavier-Tailed” with Potentially Infinite Variance) Noise in Federated Learning," in Proc. NeurIPS, New Orleans, LA, Dec. 2022

   Yang, H. ; Qiu, P. ; Liu, J. ( December 2022 , Proc. NeurIPS)
2. Taming Fat-Tailed (“Heavier-Tailed” with Potentially Infinite Variance) Noise in Federated Learning

   Yang, Haibo ; Qiu, Peiwen ; Liu, Jia ( December 2023 , Proc. NeurIPS)
3. Taming Fat-Tailed (“Heavier-Tailed” with Potentially Infinite Variance) Noise in Federated Learning

   Yang, Haibo ; Qiu, Peiwen ; Liu, Jia ( November 2022 , Proc. NeurIPS)
4. Taming Fat-Tailed (“Heavier-Tailed” with Potentially Infinite Variance) Noise in Federated Learning

   Yang, H. ; Qiu, P. ; Liu, J. ( December 2022 , Proc. NeurIPS)
5. Asymptotic solutions of decoupled continuous-time random walks with superheavy-tailed waiting time and heavy-tailed jump length distributions

   https://doi.org/10.1103/PhysRevE.84.061143  

   Denisov, S. I. ; Yuste, S. B. ; Bystrik, Yu. S. ; Kantz, H. ; Lindenberg, K. ( December 2011 , Physical Review E)