LEAF: A Benchmark for Federated Settings. - Sebastian Caldas; Peter Wu; Tian Li 005; Jakub Konecný; H. Brendan McMahan; Virginia Smith; Ameet Talwalkar (CoRR, 2018)

Expanding the Reach of Federated Learning by Reducing Client Resource Requirements. - Sebastian Caldas; Jakub Konecný; H. Brendan McMahan; Ameet Talwalkar (CoRR, 2018)

Differentially Private Meta-Learning. - Jeffrey Li; Mikhail Khodak; Sebastian Caldas; Ameet Talwalkar (ICLR, 2020)

Using Machine Learning to Support Transfer of Best Practices in Healthcare. - Sebastian Caldas; Jieshi Chen; Artur Dubrawski (AMIA, 2021)

Understanding Clinical Collaborations Through Federated Classifier Selection. - Sebastian Caldas; Joo Heung Yoon; Michael R. Pinsky; Gilles Clermont; Artur Dubrawski (MLHC, 2021)

Collaborative learning by leveraging siloed data - Sebastian Caldas (2023)

PICSR: Prototype-Informed Cross-Silo Router for Federated Learning (Student Abstract). - Eric Enouen; Sebastian Caldas; Mononito Goswami; Artur Dubrawski (AAAI, 2024)

Hypothesis Testing for Quantifying LLM-Human Misalignment in Multiple Choice Settings. - Harbin Hong; Sebastian Caldas; Liu Leqi (CoRR, 2025)