Yuan, Honglin

7 publications

ICML 2025 Deep Streaming View Clustering Honglin Yuan, Xingfeng Li, Jian Dai, Xiaojian You, Yuan Sun, Zhenwen Ren

AISTATS 2022 Sharp Bounds for Federated Averaging (Local SGD) and Continuous Perspective Margalit R. Glasgow, Honglin Yuan, Tengyu Ma

COLT 2022 Big-Step-Little-Step: Efficient Gradient Methods for Objectives with Multiple Scales Jonathan Kelner, Annie Marsden, Vatsal Sharan, Aaron Sidford, Gregory Valiant, Honglin Yuan

ICMLW 2022 Plex: Towards Reliability Using Pretrained Large Model Extensions Dustin Tran, Jeremiah Zhe Liu, Michael W Dusenberry, Du Phan, Mark Collier, Jie Ren, Kehang Han, Zi Wang, Zelda E Mariet, Huiyi Hu, Neil Band, Tim G. J. Rudner, Karan Singhal, Zachary Nado, Joost van Amersfoort, Andreas Kirsch, Rodolphe Jenatton, Nithum Thain, Honglin Yuan, E. Kelly Buchanan, Kevin Patrick Murphy, D. Sculley, Yarin Gal, Zoubin Ghahramani, Jasper Snoek, Balaji Lakshminarayanan

ICLR 2022 What Do We Mean by Generalization in Federated Learning? Honglin Yuan, Warren Richard Morningstar, Lin Ning, Karan Singhal

ICML 2021 Federated Composite Optimization Honglin Yuan, Manzil Zaheer, Sashank Reddi

NeurIPS 2020 Federated Accelerated Stochastic Gradient Descent Honglin Yuan, Tengyu Ma