Communication-Efficient Federated Distillation with Active Data Sampling Abstract: Federated learning (FL) is a promising paradigm to enable privacy-preserving deep learning from distributed data.

On "Sampling, data transmission, and the Nyquist rate" and adaptive communication using randomly time-varying channels Abstract: This letter points out that it is possible to transmit any finite ...

Maximize 224 Gb/s data center network reliability with N1093 DCA-M sampling oscilloscopes, offering unmatched optical measurement accuracy and optimized test efficiency for 1.6T transceiver ...

AMD is to add integrated direct RF-sampling data converters to its Versal adaptive SoCs. Versal RF Series development tools are available now. Silicon samples and evaluation kits are expected to be ...