Author

Chao-Yi Yang

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Preprint Oct 2026

Modeling extreme mass-ratio inspirals in astrophysical and dark-matter environments

Extreme mass-ratio inspirals offer a powerful probe of massive black holes and their environments, but interpreting their signals requires accurate models of orbital dynamics and radiation. Here we bring together advances in black-hole perturbation theory to establish a unified relativistic framework for adiabatic insp...

Dong-Jun Li, Hao-Jui Kuan, Colin Weller et al. · 1 citation

#federated learning Oct 2026

Communication-Efficient Federated Learning Based on a Two-Stage Adaptive Basis Matrix for Gradient Compression

Federated learning (FL) faces significant communication overhead due to the repeated exchange of large gradient tensors between clients and the server. While existing compression techniques, such as sparsification and quantization, help reduce this cost, they often result in information loss, which can negatively impac...

Jia-Hong Xiao, Yuxiang Chen, Chao-Yi Yang et al. · IEEE Transactions on Mobile... · 0 citations