Mohammad Mahdi Kamani

According to our database1, Mohammad Mahdi Kamani authored at least 14 papers between 2016 and 2021.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.



In proceedings 
PhD thesis 




Pareto Efficient Fairness in Supervised Learning: From Extraction to Tracing.
CoRR, 2021

Federated Learning with Compression: Unified Analysis and Sharp Guarantees.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

Adaptive Personalized Federated Learning.
CoRR, 2020

Distributionally Robust Federated Averaging.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Targeted Data-driven Regularization for Out-of-Distribution Generalization.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Learning to Quantize Deep Neural Networks: A Competitive-Collaborative Approach.
Proceedings of the 57th ACM/IEEE Design Automation Conference, 2020

Efficient Fair Principal Component Analysis.
CoRR, 2019

Local SGD with Periodic Averaging: Tighter Analysis and Adaptive Synchronization.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Trading Redundancy for Communication: Speeding up Distributed SGD for Non-convex Optimization.
Proceedings of the 36th International Conference on Machine Learning, 2019

CAPTAIN: Comprehensive Composition Assistance for Photo Taking.
CoRR, 2018

Skeleton matching with applications in severe weather detection.
Appl. Soft Comput., 2018

Take It or Leave It: A Survey Study on Operating System Upgrade Practices.
Proceedings of the 34th Annual Computer Security Applications Conference, 2018

Intelligent Portrait Composition Assistance: Integrating Deep-learned Models and Photography Idea Retrieval.
Proceedings of the on Thematic Workshops of ACM Multimedia 2017, Mountain View, CA, USA, October 23, 2017

Shape matching using skeleton context for automated bow echo detection.
Proceedings of the 2016 IEEE International Conference on Big Data, 2016