Mohammad Mahdi Kamani

According to our database, Mohammad Mahdi Kamani authored at least 21 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Wyze Rule: Federated Rule Dataset for Rule Recommendation Benchmarking.

Mohammad Mahdi Kamani, Yuhang Yao, Hanjia Lyu, Zhongwei Cheng, Lin Chen, Liangju Li, Carlee Joe-Wong, Jiebo Luo

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Distributed Personalized Empirical Risk Minimization.

Yuyang Deng, Mohammad Mahdi Kamani, Pouria Mahdavinia, Mehrdad Mahdavi

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

FedRule: Federated Rule Recommendation System with Graph Neural Networks.

Yuhang Yao, Mohammad Mahdi Kamani, Zhongwei Cheng, Lin Chen, Carlee Joe-Wong, Tianqiang Liu

Proceedings of the 8th ACM/IEEE Conference on Internet of Things Design and Implementation, 2023

2022

CAPTAIN: Comprehensive Composition Assistance for Photo Taking.

Farshid Farhat, Mohammad Mahdi Kamani, James Z. Wang

ACM Trans. Multim. Comput. Commun. Appl., 2022

Efficient fair principal component analysis.

Mohammad Mahdi Kamani, Farzin Haddadpour, Rana Forsati, Mehrdad Mahdavi

Mach. Learn., 2022

FedRule: Federated Rule Recommendation System with Graph Neural Networks.

Yuhang Yao, Mohammad Mahdi Kamani, Zhongwei Cheng, Lin Chen, Carlee Joe-Wong, Tianqiang Liu

CoRR, 2022

Learning Distributionally Robust Models at Scale via Composite Optimization.

Farzin Haddadpour, Mohammad Mahdi Kamani, Mehrdad Mahdavi, Amin Karbasi

Proceedings of the Tenth International Conference on Learning Representations, 2022

Local SGD Optimizes Overparameterized Neural Networks in Polynomial Time.

Yuyang Deng, Mohammad Mahdi Kamani, Mehrdad Mahdavi

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

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

Mohammad Mahdi Kamani, Rana Forsati, James Z. Wang, Mehrdad Mahdavi

CoRR, 2021

Adaptive Distillation: Aggregating Knowledge from Multiple Paths for Efficient Distillation.

Sumanth Chennupati, Mohammad Mahdi Kamani, Zhongwei Cheng, Lin Chen

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

Federated Learning with Compression: Unified Analysis and Sharp Guarantees.

Farzin Haddadpour, Mohammad Mahdi Kamani, Aryan Mokhtari, Mehrdad Mahdavi

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

Adaptive Personalized Federated Learning.

Yuyang Deng, Mohammad Mahdi Kamani, Mehrdad Mahdavi

CoRR, 2020

Distributionally Robust Federated Averaging.

Yuyang Deng, Mohammad Mahdi Kamani, Mehrdad Mahdavi

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.

Mohammad Mahdi Kamani, Sadegh Farhang, Mehrdad Mahdavi, James Z. Wang

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.

Md Fahim Faysal Khan, Mohammad Mahdi Kamani, Mehrdad Mahdavi, Vijaykrishnan Narayanan

Proceedings of the 57th ACM/IEEE Design Automation Conference, 2020

2019

Local SGD with Periodic Averaging: Tighter Analysis and Adaptive Synchronization.

Farzin Haddadpour, Mohammad Mahdi Kamani, Mehrdad Mahdavi, Viveck R. Cadambe

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.

Farzin Haddadpour, Mohammad Mahdi Kamani, Mehrdad Mahdavi, Viveck R. Cadambe

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

Skeleton matching with applications in severe weather detection.

Mohammad Mahdi Kamani, Farshid Farhat, Stephen Wistar, James Z. Wang

Appl. Soft Comput., 2018

Take It or Leave It: A Survey Study on Operating System Upgrade Practices.

Sadegh Farhang, Jake Weidman, Mohammad Mahdi Kamani, Jens Grossklags, Peng Liu

Proceedings of the 34th Annual Computer Security Applications Conference, 2018

2017

Intelligent Portrait Composition Assistance: Integrating Deep-learned Models and Photography Idea Retrieval.

Farshid Farhat, Mohammad Mahdi Kamani, Sahil Mishra, James Z. Wang

Proceedings of the on Thematic Workshops of ACM Multimedia 2017, Mountain View, CA, USA, October 23, 2017

2016

Shape matching using skeleton context for automated bow echo detection.

Mohammad Mahdi Kamani, Farshid Farhat, Stephen Wistar, James Z. Wang

Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016