Ali Anwar  Ali Anwar photo         

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Research Staff Member
Almaden Research Center, San Jose, CA, USA
  

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Professional Associations

Professional Associations:  ACM  |  IEEE  |  USENIX: The Advanced Computing Systems Association


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
Abstract

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