Reproducibility Study: Learning to Generalize in Heterogeneous Federated Networks
| Autor: | Melnychyn Olesia, Klysa Yelyzaveta, Sakhnovych Yana, Obereder Christian |
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| Jazyk: | angličtina |
| Rok vydání: | 2023 |
| Předmět: | |
| DOI: | 10.5281/zenodo.7586515 |
| Popis: | A reproducibility study for: Cen Chen, Tiandi Ye, Li Wang, and Ming Gao. 2022. Learning to Generalize in Heterogeneous Federated Networks. In Proceedings of the 31st ACM International Conference on Information & Knowledge Management. 159–168. ( https://doi.org/10.1145/3511808.3557378 ) {"references":["https://doi.org/10.1145/3511808.3557378","https://doi.org/10.48550/arXiv.1602.05629"]} |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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