CBFL: A Communication-Efficient Federated Learning Framework From Data Redundancy Perspective

Research article (IEEE Systems Journal, 2021) · cited 15× · AI/ML
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CBFL: A Communication-Efficient Federated Learning Framework From Data Redundancy Perspective

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CBFL: A Communication-Efficient Federated Learning Framework From Data Redundancy Perspective is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). CBFL: A Communication-Efficient Federated Learning Framework From Data Redundancy Perspective. Retrieved May 24, 2026, from https://4ort.xyz/entity/cbfl-a-communication-efficient-federated-learning-framework-from-data-redundancy-perspective
MLA “CBFL: A Communication-Efficient Federated Learning Framework From Data Redundancy Perspective.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/cbfl-a-communication-efficient-federated-learning-framework-from-data-redundancy-perspective.
BibTeX @misc{4ortxyz_cbfl-a-communication-efficient-federated-learning-framework-from-data-redundancy-perspective_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{CBFL: A Communication-Efficient Federated Learning Framework From Data Redundancy Perspective}}, year = {2026}, url = {https://4ort.xyz/entity/cbfl-a-communication-efficient-federated-learning-framework-from-data-redundancy-perspective}, note = {Accessed: 2026-05-24}}
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