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Resource Aware Client Selection for Federated Learning in IoT Scenarios
Research article (2023 19th International Conference on Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IoT), 2023) · cited 11× · AI/ML
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Resource Aware Client Selection for Federated Learning in IoT Scenarios. Retrieved May 24, 2026, from https://4ort.xyz/entity/resource-aware-client-selection-for-federated-learning-in-iot-scenarios
MLA“Resource Aware Client Selection for Federated Learning in IoT Scenarios.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/resource-aware-client-selection-for-federated-learning-in-iot-scenarios.
BibTeX@misc{4ortxyz_resource-aware-client-selection-for-federated-learning-in-iot-scenarios_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Resource Aware Client Selection for Federated Learning in IoT Scenarios}}, year = {2026}, url = {https://4ort.xyz/entity/resource-aware-client-selection-for-federated-learning-in-iot-scenarios}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Resource Aware Client Selection for Federated Learning in IoT Scenarios — https://4ort.xyz/entity/resource-aware-client-selection-for-federated-learning-in-iot-scenarios (retrieved 2026-05-24)
