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FedCRMW: Federated model ownership verification with compression-resistant model watermarking

Research article (Expert Systems with Applications, 2024) · cited 48× · AI/ML
academia openalex:W4393195438
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FedCRMW: Federated model ownership verification with compression-resistant model watermarking

Summary

FedCRMW: Federated model ownership verification with compression-resistant model watermarking is a scholarly article[1].

Key Facts

  • FedCRMW: Federated model ownership verification with compression-resistant model watermarking's instance of is recorded as scholarly article[2].

References

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). FedCRMW: Federated model ownership verification with compression-resistant model watermarking. Retrieved May 24, 2026, from https://4ort.xyz/entity/fedcrmw-federated-model-ownership-verification-with-compression-resistant-model-watermarking
MLA “FedCRMW: Federated model ownership verification with compression-resistant model watermarking.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/fedcrmw-federated-model-ownership-verification-with-compression-resistant-model-watermarking.
BibTeX @misc{4ortxyz_fedcrmw-federated-model-ownership-verification-with-compression-resistant-model-watermarking_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{FedCRMW: Federated model ownership verification with compression-resistant model watermarking}}, year = {2026}, url = {https://4ort.xyz/entity/fedcrmw-federated-model-ownership-verification-with-compression-resistant-model-watermarking}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): FedCRMW: Federated model ownership verification with compression-resistant model watermarking — https://4ort.xyz/entity/fedcrmw-federated-model-ownership-verification-with-compression-resistant-model-watermarking (retrieved 2026-05-24)

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