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12/19/2022
FedTADBench: Federated Time-Series Anomaly Detection Benchmark
Time series anomaly detection strives to uncover potential abnormal beha...
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06/23/2022
Deep Reinforcement Learning-Assisted Federated Learning for Robust Short-term Utility Demand Forecasting in Electricity Wholesale Markets
Short-term load forecasting (STLF) plays a significant role in the opera...
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01/30/2022
DearFSAC: An Approach to Optimizing Unreliable Federated Learning via Deep Reinforcement Learning
In federated learning (FL), model aggregation has been widely adopted fo...
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12/22/2021
Deep Reinforcement Learning for Optimal Power Flow with Renewables Using Spatial-Temporal Graph Information
Renewable energy resources (RERs) have been increasingly integrated into...
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05/22/2021
Feature Encoding with AutoEncoders for Weakly-supervised Anomaly Detection
Weakly-supervised anomaly detection aims at learning an anomaly detector...
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12/05/2019
Deep Anomaly Detection in Packet Payload
With the widespread adoption of cloud services, especially the extensive...
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09/25/2017