Federated Quantum-Inspired Tensor Compression for Energy-Efficient Edge Learning in Bandwidth-Constrained IoT Swarms
- DOI
- 10.1007/s40009-026-02420-3
- Published
- 2026-09-02
- Container
- National Academy Science Letters
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1007/s40009-026-02420-3,
title = {Federated Quantum-Inspired Tensor Compression for Energy-Efficient Edge Learning in Bandwidth-Constrained IoT Swarms},
author = {Anushree Deshmukh and Archana P. Khandait and Vishal Tiwari and Dipak Wajgi and Amit R. Welekar and Lowlesh Nandkishor Yadav and Gunjan Keswani and Vinay Keswani},
year = {2026},
journal = {National Academy Science Letters},
doi = {10.1007/s40009-026-02420-3},
url = {https://doi.org/10.1007/s40009-026-02420-3}
}RIS
TY - JOUR TI - Federated Quantum-Inspired Tensor Compression for Energy-Efficient Edge Learning in Bandwidth-Constrained IoT Swarms AU - Anushree Deshmukh AU - Archana P. Khandait AU - Vishal Tiwari AU - Dipak Wajgi AU - Amit R. Welekar AU - Lowlesh Nandkishor Yadav AU - Gunjan Keswani AU - Vinay Keswani PY - 2026 JO - National Academy Science Letters DO - 10.1007/s40009-026-02420-3 UR - https://doi.org/10.1007/s40009-026-02420-3 ER -
APA
Deshmukh, A., Khandait, A. P., Tiwari, V., Wajgi, D., Welekar, A. R., Yadav, L. N., Keswani, G., & Keswani, V. (2026). Federated Quantum-Inspired Tensor Compression for Energy-Efficient Edge Learning in Bandwidth-Constrained IoT Swarms. National Academy Science Letters. https://doi.org/10.1007/s40009-026-02420-3
Source records
- crossref · retrieved 2026-09-25T00:24:15.120Z