A Field Guide to Federated Optimization. - Jianyu Wang; Zachary Charles; Zheng Xu 002; Gauri Joshi; H. Brendan McMahan; Blaise Agüera y Arcas; Maruan Al-Shedivat; Galen Andrew; Salman Avestimehr; Katharine Daly; Deepesh Data; Suhas N. Diggavi; et al. (CoRR, 2021)

Federated Learning in Practice: Reflections and Projections. - Katharine Daly; Hubert Eichner; Peter Kairouz; H. Brendan McMahan; Daniel Ramage; Zheng Xu 002 (TPS-ISA, 2024)

Confidential Federated Computations. - Hubert Eichner; Daniel Ramage; Kallista A. Bonawitz; Dzmitry Huba; Tiziano Santoro; Brett McLarnon; Timon Van Overveldt; Nova Fallen; Peter Kairouz; Albert Cheu; Katharine Daly; Adrià Gascón; et al. (CoRR, 2024)

Toward provably private analytics and insights into GenAI use. - Albert Cheu; Artem Lagzdin; Brett McLarnon; Daniel Ramage; Katharine Daly; Marco Gruteser; Peter Kairouz; Rakshita Tandon; Stanislav Chiknavaryan; Timon Van Overveldt; Zoe Gong (CoRR, 2025)