Zhipeng Tu — accepted AI-conference papers

2022

Distributed Online Convex Optimization with Compressed Communication

Zhipeng Tu, Xi Wang, Yiguang Hong, Lei Wang, Deming Yuan, Guodong Shi

NeurIPS 2022accept

We consider a distributed online convex optimization problem when streaming data are distributed among computing agents over a connected communication network. Since the data are high-dimensional or the network is large-scale, communication load can be a bottleneck for the efficiency of distributed…

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2021

No-regret Online Learning over Riemannian Manifolds

Xi Wang, Zhipeng Tu, Yiguang Hong, Yingyi Wu, Guodong Shi

NeurIPS 2021poster

We consider online optimization over Riemannian manifolds, where a learner attempts to minimize a sequence of time-varying loss functions defined on Riemannian manifolds. Though many Euclidean online convex optimization algorithms have been proven useful in a wide range of areas, less attention has…

Cited by 14 Source ↗PDF ↗Scholar ↗