Linguistic annotations, especially for controversial topics like hate speech detection, are frequently contested due to annotator backgrounds and positionalities. In such situations, preserving this disagreement throu...
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To maximize the CPU utilization of the server, offline tasks are usually deployed to the same server where the online service is running. Considering the necessity to ensure the service quality of online services, it ...
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Crop monitoring and phenology estimation based on the satellite systems have become an important research area due to high demand on crops. synthetic Aperture Radar (sAR) is a kind of microwave remote sensing equipmen...
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The FedAdamPID algorithm resolves the overshoot problem suffered by the FedAdam algorithm under the framework of PID control. The research on FedAdamPID explores the connection between PID controllers and the process ...
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ISBN:
(数字)9798331512620
ISBN:
(纸本)9798331512637
The FedAdamPID algorithm resolves the overshoot problem suffered by the FedAdam algorithm under the framework of PID control. The research on FedAdamPID explores the connection between PID controllers and the process of federated learning algorithms, particularly applying it to the update rules on the server side. Thisstudy draws on the previousresearch of the research group, first establishing a connection between the local update process of the client and the PID controller, and then viewing the entire FL process involving both the client and the server as a multi-PID coupled system. On this basis, the minimum update difference and the dynamic adjustment strategy of the local learning rate are introduced, and an optimized algorithm, FedAdamPID-op, is proposed. Experiments on multiple standard datasets have verified that this optimized algorithm slightly outperforms FedAdamPID in terms of accuracy and the number of convergence rounds.
The advent of distributed ledger (DLT) technology, also known as blockchain technology and smart contracts, has been a significant factor in the growth of the digital financial assets (DFA) market in the Russian Feder...
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The Location Routing Problem (LRP) has extensive applications in emergency medical facility selection. It involves a complex spatial optimization problem of selecting the optimal facility locations from a set of deman...
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The fault diagnosis method of rotating machinery has always been a research hotspot, and the fault diagnosis method based on deep learning has a great dependence on the sample size, which cannot maintain its advantage...
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Deep learning (DL) has revolutionized healthcare, particularly in disease prediction, medical imaging, and drug discovery. In ophthalmology, DL facilitates cell counting by detecting and quantifying retinal ganglion c...
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Model predictive control is a widely used approach to the problem of highway local ramp metering problem. The main parameter that affects the computational complexity is the prediction horizon. Considering the perform...
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Anticipating gridlock is critical to reducing street accidents and increasing traffic flow for passengers. By the way, the dynamic evolution of automobiles on the organization reduces the viability of DL in predicting...
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