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FedADMM: A Robust Federated Deep Learning Framework with Adaptivity to System Heterogeneity

Research article (2022 IEEE 38th International Conference on Data Engineering (ICDE), 2022) · cited 38× · AI/ML
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FedADMM: A Robust Federated Deep Learning Framework with Adaptivity to System Heterogeneity

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FedADMM: A Robust Federated Deep Learning Framework with Adaptivity to System Heterogeneity is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). FedADMM: A Robust Federated Deep Learning Framework with Adaptivity to System Heterogeneity. Retrieved May 24, 2026, from https://4ort.xyz/entity/fedadmm-a-robust-federated-deep-learning-framework-with-adaptivity-to-system-heterogeneity
MLA “FedADMM: A Robust Federated Deep Learning Framework with Adaptivity to System Heterogeneity.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/fedadmm-a-robust-federated-deep-learning-framework-with-adaptivity-to-system-heterogeneity.
BibTeX @misc{4ortxyz_fedadmm-a-robust-federated-deep-learning-framework-with-adaptivity-to-system-heterogeneity_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{FedADMM: A Robust Federated Deep Learning Framework with Adaptivity to System Heterogeneity}}, year = {2026}, url = {https://4ort.xyz/entity/fedadmm-a-robust-federated-deep-learning-framework-with-adaptivity-to-system-heterogeneity}, note = {Accessed: 2026-05-24}}
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