2020

2020

  • A system and method for semantic learning on federated learning systems. Ali Anwar, Nathalie Baracaldo Angel, Simone Bianco, Vito Paolo Pastore, Yi Zhou.

  • A Cost effective method for parameter sharing in Federated learning. Shashank Rajamoni, Ali Anwar, Yi Zhou, Heiko Ludwig, Nathalie Baracaldo.

  • A method to adaptively average model updates in federated learning. Yi Zhou, Ali Anwar, Nathalie Baracaldo, Heiko Ludwig.

  • Efficient private vertical federated learning. Nathalie Baracaldo, Runhua Xu, Yi Zhou, Ali Anwar, Heiko Ludwig.

2019

  • A method and system to improve efficiency in privacy-preserving federated learning. Nathalie Baracaldo, Runhua Xu, Yi Zhou, Ali Anwar, Heiko Ludwig.

  • Method to detect backdoor attacks at inference time. Nathalie Baracaldo, Yi Zhou, Bryant Chen, Ali Anwar, Heiko Ludwig

  • A method and system to improve communication overhead in federated learning. Ali Anwar, Yi Zhou, Nathalie Baracaldo, Heiko Ludwig.

  • A method and system to perform private and federated learning . Stacey Truex, Nathalie Baracaldo, Ali Anwar, Heiko Ludwig, Thomas Steinke, Rui Zhang.

  • Dynamic adjustment of parallelism for pulling images from container registries Ali Anwar, Heiko Ludwig, Mohamed Mohamed, Samir Tata

2016

  • Dynamic metering adjustment for service management of computing platform Anwar, Ali and Kochut, Andrzej and Sailer, Anca and Schulz, Charles O and Segal, Alla US Patent App. 14/926,384

  • SCALABLE METERING FOR CLOUD SERVICE MANAGEMENT BASED ON COST-AWARENESS Anwar, Ali and Baset, Salman A and Kochut, Andrzej P and Lei, Hui and Sailer, Anca and Segal, Alla US Patent 20,160,094,410