LEASGD: an Efficient and Privacy-Preserving Decentralized Algorithm for Distributed Learning. - Hsin-Pai Cheng; Patrick Yu; Haojing Hu; Feng Yan 001; Shiyu Li 001; Hai Li 001; Yiran Chen 001 (CoRR, 2018)

Towards Decentralized Deep Learning with Differential Privacy. - Hsin-Pai Cheng; Patrick Yu; Haojing Hu; Syed Zawad; Feng Yan 001; Shiyu Li 001; Hai Helen Li; Yiran Chen 001 (CLOUD, 2019)

The Curse of Low Task Diversity: On the Failure of Transfer Learning to Outperform MAML and Their Empirical Equivalence. - Brando Miranda; Patrick Yu; Yu-Xiong Wang; Sanmi Koyejo (CoRR, 2022)

Is Pre-training Truly Better Than Meta-Learning? - Brando Miranda; Patrick Yu; Saumya Goyal; Yu-Xiong Wang; Sanmi Koyejo (CoRR, 2023)