3 citations · 4 across the 3 of their papers we have counts for
3 papers
cs.AI2024
Federating to Grow Transformers with Constrained Resources without Model Sharing
Shikun Shen, Yifei Zou, Yuan Yuan +4
The high resource consumption of large-scale models discourages resource-constrained users from developing their customized transformers. To this end, this paper considers a federa…
cs.LG2024★ 1 cited
A Resource-Adaptive Approach for Federated Learning under Resource-Constrained Environments
Ruirui Zhang, Xingze Wu, Yifei Zou +4
The paper studies a fundamental federated learning (FL) problem involving multiple clients with heterogeneous constrained resources. Compared with the numerous training parameters,…
cs.DS2019★ 3 cited
A constant FPT approximation algorithm for hard-capacitated k-means
Yicheng Xu, Rolf H. Möhring, Dachuan Xu +2
Hard-capacitated -means (HCKM) is one of the fundamental problems remaining open in combinatorial optimization and data mining areas. In this problem, one is required to partiti…