Personalized PCA for Federated Heterogeneous Data. - Kaan Ozkara; Bruce Huang; Suhas N. Diggavi (ISIT, 2023)

Leveraging machine learning approaches for predicting potential Lyme disease cases and incidence rates in the United States using Twitter. - Srikanth Boligarla; Elda Kokoè Elolo Laison; Jiaxin Li; Raja Mahadevan; Austen Ng; Yangming Lin; Mamadou Yamar Thioub; Bruce Huang; Mohamed Hamza Ibrahim; Bouchra R. Nasri (BMC Medical Informatics Decis. Mak., 2023)

Hierarchical Bayes Approach to Personalized Federated Unsupervised Learning. - Kaan Ozkara; Bruce Huang; Ruida Zhou; Suhas N. Diggavi (CoRR, 2024)

ADEPT: Hierarchical Bayes Approach to Personalized Federated Unsupervised Learning. - Kaan Ozkara; Bruce Huang; Ruida Zhou; Suhas N. Diggavi (AISTATS, 2025)

On the Price of Decentralization in Decentralized Detection. - Bruce Huang; I-Hsiang Wang (IEEE Trans. Inf. Theory, 2025)

On the optimal regret of collaborative personalized linear bandits. - Bruce Huang; Ruida Zhou; Lin F. Yang; Suhas N. Diggavi (CoRR, 2025)