FedSelect: Customized Selection of Parameters for Fine-Tuning during Personalized Federated Learning. - Rishub Tamirisa; John Won; Chengjun Lu; Ron Arel; Andy Zhou (CoRR, 2023)

FedSelect: Personalized Federated Learning with Customized Selection of Parameters for Fine-Tuning. - Rishub Tamirisa; Chulin Xie; Wenxuan Bao; Andy Zhou; Ron Arel; Aviv Shamsian (CVPR, 2024)

Tamper-Resistant Safeguards for Open-Weight LLMs. - Rishub Tamirisa; Bhrugu Bharathi; Long Phan; Andy Zhou; Alice Gatti; Tarun Suresh; Maxwell Lin; Justin Wang; Rowan Wang; Ron Arel; Andy Zou; Dawn Song; et al. (ICLR, 2025)