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Mohammad Mahdi Kamani
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2020 – today
- 2023
- [c15]Yuhang Yao
, Mohammad Mahdi Kamani
, Zhongwei Cheng
, Lin Chen
, Carlee Joe-Wong
, Tianqiang Liu
:
FedRule: Federated Rule Recommendation System with Graph Neural Networks. IoTDI 2023: 197-208 - [c14]Yuyang Deng, Mohammad Mahdi Kamani, Pouria Mahdavinia, Mehrdad Mahdavi:
Distributed Personalized Empirical Risk Minimization. NeurIPS 2023 - [c13]Mohammad Mahdi Kamani, Yuhang Yao, Hanjia Lyu, Zhongwei Cheng, Lin Chen, Liangju Li, Carlee Joe-Wong, Jiebo Luo:
Wyze Rule: Federated Rule Dataset for Rule Recommendation Benchmarking. NeurIPS 2023 - [i11]Yuyang Deng, Mohammad Mahdi Kamani, Pouria Mahdavinia, Mehrdad Mahdavi:
Distributed Personalized Empirical Risk Minimization. CoRR abs/2310.17761 (2023) - 2022
- [j3]Mohammad Mahdi Kamani
, Farzin Haddadpour, Rana Forsati, Mehrdad Mahdavi:
Efficient fair principal component analysis. Mach. Learn. 111(10): 3671-3702 (2022) - [j2]Farshid Farhat
, Mohammad Mahdi Kamani, James Z. Wang:
CAPTAIN: Comprehensive Composition Assistance for Photo Taking. ACM Trans. Multim. Comput. Commun. Appl. 18(1): 14:1-14:24 (2022) - [c12]Yuyang Deng, Mohammad Mahdi Kamani, Mehrdad Mahdavi:
Local SGD Optimizes Overparameterized Neural Networks in Polynomial Time. AISTATS 2022: 6840-6861 - [c11]Farzin Haddadpour, Mohammad Mahdi Kamani, Mehrdad Mahdavi, Amin Karbasi:
Learning Distributionally Robust Models at Scale via Composite Optimization. ICLR 2022 - [i10]Farzin Haddadpour, Mohammad Mahdi Kamani, Mehrdad Mahdavi, Amin Karbasi:
Learning Distributionally Robust Models at Scale via Composite Optimization. CoRR abs/2203.09607 (2022) - [i9]Yuhang Yao, Mohammad Mahdi Kamani, Zhongwei Cheng, Lin Chen, Carlee Joe-Wong, Tianqiang Liu:
FedRule: Federated Rule Recommendation System with Graph Neural Networks. CoRR abs/2211.06812 (2022) - 2021
- [c10]Farzin Haddadpour, Mohammad Mahdi Kamani, Aryan Mokhtari, Mehrdad Mahdavi:
Federated Learning with Compression: Unified Analysis and Sharp Guarantees. AISTATS 2021: 2350-2358 - [c9]Sumanth Chennupati, Mohammad Mahdi Kamani, Zhongwei Cheng, Lin Chen:
Adaptive Distillation: Aggregating Knowledge from Multiple Paths for Efficient Distillation. BMVC 2021: 100 - [i8]Yuyang Deng, Mohammad Mahdi Kamani, Mehrdad Mahdavi:
Distributionally Robust Federated Averaging. CoRR abs/2102.12660 (2021) - [i7]Mohammad Mahdi Kamani, Rana Forsati, James Z. Wang, Mehrdad Mahdavi:
Pareto Efficient Fairness in Supervised Learning: From Extraction to Tracing. CoRR abs/2104.01634 (2021) - [i6]Sumanth Chennupati, Mohammad Mahdi Kamani, Zhongwei Cheng, Lin Chen:
Adaptive Distillation: Aggregating Knowledge from Multiple Paths for Efficient Distillation. CoRR abs/2110.09674 (2021) - 2020
- [c8]Md Fahim Faysal Khan
, Mohammad Mahdi Kamani, Mehrdad Mahdavi, Vijaykrishnan Narayanan
:
Learning to Quantize Deep Neural Networks: A Competitive-Collaborative Approach. DAC 2020: 1-6 - [c7]Mohammad Mahdi Kamani, Sadegh Farhang, Mehrdad Mahdavi, James Z. Wang
:
Targeted Data-driven Regularization for Out-of-Distribution Generalization. KDD 2020: 882-891 - [c6]Yuyang Deng, Mohammad Mahdi Kamani, Mehrdad Mahdavi:
Distributionally Robust Federated Averaging. NeurIPS 2020 - [i5]Yuyang Deng, Mohammad Mahdi Kamani, Mehrdad Mahdavi:
Adaptive Personalized Federated Learning. CoRR abs/2003.13461 (2020) - [i4]Farzin Haddadpour, Mohammad Mahdi Kamani, Aryan Mokhtari, Mehrdad Mahdavi:
Federated Learning with Compression: Unified Analysis and Sharp Guarantees. CoRR abs/2007.01154 (2020)
2010 – 2019
- 2019
- [c5]Farzin Haddadpour, Mohammad Mahdi Kamani, Mehrdad Mahdavi, Viveck R. Cadambe:
Trading Redundancy for Communication: Speeding up Distributed SGD for Non-convex Optimization. ICML 2019: 2545-2554 - [c4]Farzin Haddadpour, Mohammad Mahdi Kamani, Mehrdad Mahdavi, Viveck R. Cadambe:
Local SGD with Periodic Averaging: Tighter Analysis and Adaptive Synchronization. NeurIPS 2019: 11080-11092 - [i3]Farzin Haddadpour, Mohammad Mahdi Kamani, Mehrdad Mahdavi, Viveck R. Cadambe:
Local SGD with Periodic Averaging: Tighter Analysis and Adaptive Synchronization. CoRR abs/1910.13598 (2019) - [i2]Mohammad Mahdi Kamani, Farzin Haddadpour, Rana Forsati, Mehrdad Mahdavi:
Efficient Fair Principal Component Analysis. CoRR abs/1911.04931 (2019) - 2018
- [j1]Mohammad Mahdi Kamani, Farshid Farhat, Stephen Wistar, James Z. Wang
:
Skeleton matching with applications in severe weather detection. Appl. Soft Comput. 70: 1154-1166 (2018) - [c3]Sadegh Farhang, Jake Weidman, Mohammad Mahdi Kamani, Jens Grossklags, Peng Liu:
Take It or Leave It: A Survey Study on Operating System Upgrade Practices. ACSAC 2018: 490-504 - [i1]Farshid Farhat, Mohammad Mahdi Kamani, James Z. Wang:
CAPTAIN: Comprehensive Composition Assistance for Photo Taking. CoRR abs/1811.04184 (2018) - 2017
- [c2]Farshid Farhat, Mohammad Mahdi Kamani, Sahil Mishra, James Z. Wang
:
Intelligent Portrait Composition Assistance: Integrating Deep-learned Models and Photography Idea Retrieval. ACM Multimedia (Thematic Workshops) 2017: 17-25 - 2016
- [c1]Mohammad Mahdi Kamani, Farshid Farhat, Stephen Wistar, James Z. Wang
:
Shape matching using skeleton context for automated bow echo detection. IEEE BigData 2016: 901-908
Coauthor Index
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last updated on 2024-08-15 23:43 CEST by the dblp team
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