2 citations · 2 across the 7 of their papers we have counts for
4 papers
Linear Speedup of Incremental Aggregated Gradient Methods on Streaming Data
Xiaolu Wang, Cheng Jin, Hoi-To Wai +1
This paper considers a type of incremental aggregated gradient (IAG) method for large-scale distributed optimization. The IAG method is well suited for the parameter server archite…
Clustering of Time-Varying Graphs Based on Temporal Label Smoothness
Katsuki Fukumoto, Koki Yamada, Yuichi Tanaka +1
We propose a node clustering method for time-varying graphs based on the assumption that the cluster labels are changed smoothly over time. Clustering is one of the fundamental tas…
On the Role of Data Homogeneity in Multi-Agent Non-convex Stochastic Optimization
Qiang Li, Hoi-To Wai
This paper studies the role of data homogeneity on multi-agent optimization. Concentrating on the decentralized stochastic gradient (DSGD) algorithm, we characterize the transient…
RIDS: Robust Identification of Sparse Gene Regulatory Networks from Perturbation Experiments
Hoi-To Wai, Anna Scaglione, Uzi Harush +2
Reconstructing the causal network in a complex dynamical system plays a crucial role in many applications, from sub-cellular biology to economic systems. Here we focus on inferring…