Abstract: In federated learning, non-independently and non-identically distributed heterogeneous data on the clients can limit both the convergence speed and model utility of federated learning, and ...
In recent years, big complex data sets have been generated using omics analysis, necessitating the use of various bioinformatics and computational tools for analysis and interpretation. The ...
With the rapid development of electricity market reforms and smart grid technologies, accurately identifying the typical load curves of industrial customers is crucial for electricity retail companies ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback