Approximate and Memorize (A&M): Settling opposing views in replay-based continuous unsupervised domain adaptation
Abstract Continuous Unsupervised Domain Adaptation (CUDA) can alleviate deep learning
models' performance degradation on out-of-distribution data. However, low stability, the …
models' performance degradation on out-of-distribution data. However, low stability, the …
Federated multilinear principal component analysis with applications in prognostics
Multilinear Principal Component Analysis (MPCA) is a widely utilized method for the
dimension reduction of tensor data. However, the integration of MPCA into federated …
dimension reduction of tensor data. However, the integration of MPCA into federated …
Federated Multiple Tensor-on-Tensor Regression (FedMTOT) for Multimodal Data under Data-Sharing Constraints
In recent years, diversified measurements reflect the system dynamics from a more
comprehensive perspective in system modeling and analysis, such as scalars, waveform …
comprehensive perspective in system modeling and analysis, such as scalars, waveform …