1 citations · 2 across the 3 of their papers we have counts for
3 papers
eess.IV2024★ 1 cited
Adapting CSI-Guided Imaging Across Diverse Environments: An Experimental Study Leveraging Continuous Learning
Cheng Chen, Shoki Ohta, Takayuki Nishio +1
This study explores the feasibility of adapting CSI-guided imaging across varied environments. Focusing on continuous model learning through continuous updates, we investigate CSI-…
cs.LG2022★ 1 cited
Neural Architecture Search for Improving Latency-Accuracy Trade-off in Split Computing
Shoma Shimizu, Takayuki Nishio, Shota Saito +3
This paper proposes a neural architecture search (NAS) method for split computing. Split computing is an emerging machine-learning inference technique that addresses the privacy an…
cs.LG2021
Communication-oriented Model Fine-tuning for Packet-loss Resilient Distributed Inference under Highly Lossy IoT Networks
Sohei Itahara, Takayuki Nishio, Yusuke Koda +1
The distributed inference (DI) framework has gained traction as a technique for real-time applications empowered by cutting-edge deep machine learning (ML) on resource-constrained…