A Carbon Tracking Model for Federated Learning: Impact of Quantization and Sparsification

Research article (2023 IEEE 28th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD), 2023) · cited 10× · AI/ML
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A Carbon Tracking Model for Federated Learning: Impact of Quantization and Sparsification

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A Carbon Tracking Model for Federated Learning: Impact of Quantization and Sparsification is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). A Carbon Tracking Model for Federated Learning: Impact of Quantization and Sparsification. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-carbon-tracking-model-for-federated-learning-impact-of-quantization-and-sparsification
MLA “A Carbon Tracking Model for Federated Learning: Impact of Quantization and Sparsification.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-carbon-tracking-model-for-federated-learning-impact-of-quantization-and-sparsification.
BibTeX @misc{4ortxyz_a-carbon-tracking-model-for-federated-learning-impact-of-quantization-and-sparsification_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A Carbon Tracking Model for Federated Learning: Impact of Quantization and Sparsification}}, year = {2026}, url = {https://4ort.xyz/entity/a-carbon-tracking-model-for-federated-learning-impact-of-quantization-and-sparsification}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A Carbon Tracking Model for Federated Learning: Impact of Quantization and Sparsification — https://4ort.xyz/entity/a-carbon-tracking-model-for-federated-learning-impact-of-quantization-and-sparsification (retrieved 2026-05-24)

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