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 ...
Abstract: The need for data protection in national critical information infrastructure units has become more and more urgent with the deepening of digital transformation. At present, the rapid ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results