Kavli Affiliate: Yi Zhou | First 5 Authors: Runhua Xu, Nathalie Baracaldo, Yi Zhou, Ali Anwar, Swanand Kadhe | Summary: Federated learning has emerged as a privacy-preserving machine learning approach where multiple parties can train a single model without sharing their raw training data. Federated learning typically requires the utilization of multi-party computation techniques to […]
Kavli Affiliate: John Reynolds, Kenneth Miller | Authors: Alessandro Sanzeni, Agostina Palmigiano, Tuan H Nguyen, Junxiang Luo, Jonathan J Nassi, John H Reynolds, Mark H Histed, Kenneth D Miller and Nicolas Brunel | Summary: The ability to observe the response of neural circuits to controlled optogenetic perturbations opens an unprecedented window into the mechanisms governing […]
Kavli Affiliate: Biao Huang | First 5 Authors: Jianwei Lin, Jiatai Lin, Cheng Lu, Hao Chen, Huan Lin | Summary: Brain tumor segmentation (BTS) in magnetic resonance image (MRI) is crucial for brain tumor diagnosis, cancer management and research purposes. With the great success of the ten-year BraTS challenges as well as the advances of […]
Kavli Affiliate: Irfan Siddiqi | First 5 Authors: Jordan Hines, Marie Lu, Ravi K. Naik, Akel Hashim, Jean-Loup Ville | Summary: Randomized benchmarking (RB) protocols are the most widely used methods for assessing the performance of quantum gates. However, the existing RB methods either do not scale to many qubits or cannot benchmark a universal […]
Kavli Affiliate: Irfan Siddiqi | First 5 Authors: Jordan Hines, Marie Lu, Ravi K. Naik, Akel Hashim, Jean-Loup Ville | Summary: Randomized benchmarking (RB) protocols are the most widely used methods for assessing the performance of quantum gates. However, the existing RB methods either do not scale to many qubits or cannot benchmark a universal […]