scholar.google.com › citations
Jan 8, 2024 · This study investigates the effectiveness of conventional model integration techniques, including cascade, weighted averaging, and test-time ...
This study investigates the effectiveness of conventional model integration techniques, including cascade, weighted averaging, and test-time augmentation (TTA), ...
Jan 17, 2024 · This study investigates the effectiveness of conventional model integration techniques, including cascade, weighted averaging, and test- time ...
People also ask
What is collaborative inference?
What is AI inference at the edge?
Toward Improving Ensemble-Based Collaborative Inference at the Edge · Jan 2024. Shungo Kumazawa · Jaehoon Yu ; Decentralized Low-Latency Collaborative Inference ...
May 13, 2021 · Here we propose a framework for facilitating the application of DNNs on the edge in a manner which allows multiple users to collaborate during ...
Missing: Toward | Show results with:Toward
Jun 7, 2022 · In this work we propose to facilitate the application of DNNs on the edge by allowing multiple users to collaborate during inference to improve their accuracy.
Missing: Toward | Show results with:Toward
Our experimental results demonstrate that collaborative inference via edge ensembles equipped with compact DNNs substantially improves the accuracy over having ...
Missing: Toward | Show results with:Toward
Our experimental results demonstrate that collaborative inference via edge ensembles equipped with compact DNNs substantially improves the accuracy over having ...
Missing: Toward | Show results with:Toward
It is demonstrated that collaborative inference via edge ensembles equipped with compact DNNs substantially improves the accuracy over having each user ...
6. Shungo Kumazawa, Jaehoon Yu, Kazushi Kawamura, et al. Toward Improving Ensemble-Based Collaborative Inference at the Edge. IEEE Access, 2024, 12: 6926 ...