Averaging Is Probably Not the Optimum Way of Aggregating Parameters in Federated Learning

Research article (Entropy, 2020) · cited 55× · AI/ML
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Averaging Is Probably Not the Optimum Way of Aggregating Parameters in Federated Learning

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Averaging Is Probably Not the Optimum Way of Aggregating Parameters in Federated Learning is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Averaging Is Probably Not the Optimum Way of Aggregating Parameters in Federated Learning. Retrieved May 24, 2026, from https://4ort.xyz/entity/averaging-is-probably-not-the-optimum-way-of-aggregating-parameters-in-federated-learning
MLA “Averaging Is Probably Not the Optimum Way of Aggregating Parameters in Federated Learning.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/averaging-is-probably-not-the-optimum-way-of-aggregating-parameters-in-federated-learning.
BibTeX @misc{4ortxyz_averaging-is-probably-not-the-optimum-way-of-aggregating-parameters-in-federated-learning_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Averaging Is Probably Not the Optimum Way of Aggregating Parameters in Federated Learning}}, year = {2026}, url = {https://4ort.xyz/entity/averaging-is-probably-not-the-optimum-way-of-aggregating-parameters-in-federated-learning}, note = {Accessed: 2026-05-24}}
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