3 papers
cs.LG2026
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…
eess.SP2026
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…
cs.LG2025
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…