Iman Tabrizian

202020212022202320243 23 26 31 13

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Ali Ramezani-KebryaAssociate Professor (with tenure) in CS at the University of OsloVerified email at uio.no
Fartash FaghriApple ML ResearchVerified email at cs.toronto.edu
Daniel M. RoyResearch Director, Vector Institute; Assoc. Prof., U. Toronto (Statistics, CS)Verified email at utoronto.ca
Alberto Leon GarciaUniversity of TorontoVerified email at utoronto.ca
Saeedeh ParsaeefardAppleVerified email at apple.com
Petar PopovskiProfessor, Connectivity, Aalborg University, DenmarkVerified email at es.aau.dk

Iman Tabrizian

Verified email at mail.utoronto.ca - Homepage


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Adaptive gradient quantization for data-parallel sgd F Faghri, I Tabrizian, I Markov, D Alistarh, DM Roy, A Ramezani-Kebrya Advances in neural information processing systems 33, 3174-3185, 2020	72	2020
Artificial intelligence as a service (AI-aaS) on software-defined infrastructure S Parsaeefard, I Tabrizian, A Leon-Garcia 2019 IEEE conference on standards for communications and networking (CSCN), 1-7, 2019	19	2019
MixTailor: Mixed Gradient Aggregation for Robust Learning Against Tailored Attacks A Ramezani-Kebrya, I Tabrizian, F Faghri, P Popovski Transactions on Machine Learning Research (TMLR), 2022	4	2022
Representation of federated learning via worst-case robust optimization theory S Parsaeefard, I Tabrizian, AL Garcia arXiv preprint arXiv:1912.05571, 2019	2	2019
Co-location of Deep Learning Jobs in GPU Clusters I Tabrizian University of Toronto (Canada), 2021		2021

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