most citedDearFSAC: An Approach to Optimizing Unreliable Federated Learning via Deep Reinforcement Learning

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cs.DC2022★ 1 cited

Deep Reinforcement Learning-Assisted Federated Learning for Robust Short-term Utility Demand Forecasting in Electricity Wholesale Markets

Chenghao Huang, Weilong Chen, Shengrong Bu +1

Short-term load forecasting (STLF) plays a significant role in the operation of electricity trading markets. Considering the growing concern of data privacy, federated learning (FL…