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FedDdrl: Federated Double Deep Reinforcement Learning for Heterogeneous IoT with Adaptive Early Client Termination and Local Epoch Adjustment
Research article (Sensors, 2023) · cited 14× · AI/ML
FedDdrl: Federated Double Deep Reinforcement Learning for Heterogeneous IoT with Adaptive Early Client Termination and Local Epoch Adjustment
Summary
FedDdrl: Federated Double Deep Reinforcement Learning for Heterogeneous IoT with Adaptive Early Client Termination and Local Epoch Adjustment is a scholarly article[1].
Key Facts
FedDdrl: Federated Double Deep Reinforcement Learning for Heterogeneous IoT with Adaptive Early Client Termination and Local Epoch Adjustment's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). FedDdrl: Federated Double Deep Reinforcement Learning for Heterogeneous IoT with Adaptive Early Client Termination and Local Epoch Adjustment. Retrieved May 24, 2026, from https://4ort.xyz/entity/fedddrl-federated-double-deep-reinforcement-learning-for-heterogeneous-iot-with-adaptive-early-client-termination-and-lo
MLA“FedDdrl: Federated Double Deep Reinforcement Learning for Heterogeneous IoT with Adaptive Early Client Termination and Local Epoch Adjustment.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/fedddrl-federated-double-deep-reinforcement-learning-for-heterogeneous-iot-with-adaptive-early-client-termination-and-lo.
BibTeX@misc{4ortxyz_fedddrl-federated-double-deep-reinforcement-learning-for-heterogeneous-iot-with-adaptive-early-client-termination-and-lo_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{FedDdrl: Federated Double Deep Reinforcement Learning for Heterogeneous IoT with Adaptive Early Client Termination and Local Epoch Adjustment}}, year = {2026}, url = {https://4ort.xyz/entity/fedddrl-federated-double-deep-reinforcement-learning-for-heterogeneous-iot-with-adaptive-early-client-termination-and-lo}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): FedDdrl: Federated Double Deep Reinforcement Learning for Heterogeneous IoT with Adaptive Early Client Termination and Local Epoch Adjustment — https://4ort.xyz/entity/fedddrl-federated-double-deep-reinforcement-learning-for-heterogeneous-iot-with-adaptive-early-client-termination-and-lo (retrieved 2026-05-24)
