First Order Stochastic Optimization with Oblivious Noise

Ilias Diakonikolas, Sushrut Karmalkar, Jongho Park, Christos Tzamos

Others NeurIPS 2023

First Order Stochastic Optimization with Oblivious Noise

Distribution-independent Regression for Generalized Linear Models with Oblivious Corruptions

Ilias Diakonikolas, Sushrut Karmalkar, Jongho Park, Christos Tzamos

Others COLT 2023

Distribution-independent Regression for Generalized Linear Models with Oblivious Corruptions

Towards the Practical Utility of Federated Learning in the Medical Domain

Seongjun Yang, Hyeonji Hwang, Daeyoung Kim, Radhika Dua, Jong-Yeup Kim, Eunho Yang, and Edward Choi
Others CHIL 2023

Towards the Practical Utility of Federated Learning in the Medical Domain