1 citations · 1 across the 10 of their papers we have counts for
11 papers
Federated Learning with Hypergradient-based Online Update of Aggregation Weights
Ayano Nakai-Kasai, Tadashi Wadayama
Federated learning using mobile and Internet of Things devices requires not only the ability to handle heterogeneity of clients' data distributions but also high adaptability to va…
Computationally Efficient Sparse Signal Recovery via Linear Sketching and Deep Unfolding
Tatsuki Tokumura, Ayano Nakai-Kasai, Tadashi Wadayama
This paper provides a sparse signal recovery algorithm, DU-PSISTA (Deep Unfolded-Periodic Sketched Iterative Shrinkage-Thresholding Algorithm), which aims to balance computational…
Online Architecture Search for Compressed Sensing based on Hypergradient Descent
Ayano Nakai-Kasai, Yusuke Nakane, Tadashi Wadayama
AS-ISTA (Architecture Searched-Iterative Shrinkage Thresholding Algorithm) and AS-FISTA (AS-Fast ISTA) are compressed sensing algorithms introducing structural parameters to ISTA a…
Multi-Output Gaussian Processes for Graph-Structured Data
Ayano Nakai-Kasai, Tadashi Wadayama
Graph-structured data is a type of data to be obtained associated with a graph structure where vertices and edges describe some kind of data correlation. This paper proposes a regr…
Ordinary Differential Equation-based MIMO Signal Detection
Ayano Nakai-Kasai, Tadashi Wadayama
The required signal processing rate in future wireless communication systems exceeds the performance of the latest electronics-based processors. Introduction of analog optical comp…
Stochastic Dynamics of Noisy Average Consensus: Analysis and Optimization
Tadashi Wadayama, Ayano Nakai-Kasai
A continuous-time average consensus system is a linear dynamical system defined over a graph, where each node has its own state value that evolves according to a simultaneous linea…