Improving Resource Efficiency and Resilience in AI Workloads

Strati, Foteini

DOI: 10.3929/ethz-c-000806610
Published: 2026
Container: Not recorded
Publisher: ETH Zurich
Open access: no

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Cite this work

BibTeX

@article{allodium:10.3929/ethz-c-000806610,
  title = {Improving Resource Efficiency and Resilience in AI Workloads},
  author = {Strati, Foteini},
  year = {2026},
  doi = {10.3929/ethz-c-000806610},
  url = {https://doi.org/10.3929/ethz-c-000806610}
}

RIS

TY  - JOUR
TI  - Improving Resource Efficiency and Resilience in AI Workloads
AU  - Strati, Foteini
PY  - 2026
DO  - 10.3929/ethz-c-000806610
UR  - https://doi.org/10.3929/ethz-c-000806610
ER  -

APA

Foteini, S. (2026). Improving Resource Efficiency and Resilience in AI Workloads. https://doi.org/10.3929/ethz-c-000806610

Source records

datacite · retrieved 2026-09-25T07:07:08.508Z