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…
Ordinary Differential Equation-based Sparse Signal Recovery
Tadashi Wadayama, Ayano Nakai-Kasai
This study investigates the use of continuous-time dynamical systems for sparse signal recovery. The proposed dynamical system is in the form of a nonlinear ordinary differential e…
Gradient Flow Decoding for LDPC Codes
Tadashi Wadayama, Kensho Nakajima, Ayano Nakai-Kasai
The power consumption of the integrated circuit is becoming a significant burden, particularly for large-scale signal processing tasks requiring high throughput. The decoding proce…
Deep Unfolding-based Weighted Averaging for Federated Learning in Heterogeneous Environments
Ayano Nakai-Kasai, Tadashi Wadayama
Federated learning is a collaborative model training method that iterates model updates by multiple clients and aggregation of the updates by a central server. Device and statistic…
Precoder Design for Correlated Data Aggregation via Over-the-Air Computation in Sensor Networks
Ayano Nakai-Kasai, Tadashi Wadayama
Over-the-air computation (AirComp) enables efficient wireless data aggregation in sensor networks by simultaneous processing of calculation and communication. This paper proposes a…
MMSE Signal Detection for MIMO Systems based on Ordinary Differential Equation
Ayano Nakai-Kasai, Tadashi Wadayama
Motivated by emerging technologies for energy efficient analog computing and continuous-time processing, this paper proposes continuous-time minimum mean squared error estimation f…