The article discusses the development of a deep learning transport emulator to improve air quality forecasting. It is noted that poor air quality negatively impacts human health, and with recent…
Continue readingThe article discusses the development of a Secure-Aggregation (SecAgg) algorithm for residential short-term load forecasting, which maintains data privacy while also being robust against attacks. The algorithm minimizes communication complexity…
Continue readingThe article explores the use of federated learning in electricity load forecasting. The authors propose a novel transformer-based deep learning approach that improves data privacy by training models locally on…
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