| 2022 | AISTATS | Local SGD Optimizes Overparameterized Neural Networks in Polynomial Time. | Yuyang Deng, Mohammad Mahdi Kamani, Mehrdad Mahdavi |
| 2022 | ICLR | Learning Distributionally Robust Models at Scale via Composite Optimization. | Farzin Haddadpour, Mohammad Mahdi Kamani, Mehrdad Mahdavi, Amin Karbasi |
| 2021 | AISTATS | Federated Learning with Compression: Unified Analysis and Sharp Guarantees. | Farzin Haddadpour, Mohammad Mahdi Kamani, Aryan Mokhtari, Mehrdad Mahdavi |
| 2021 | BMVC | Adaptive Distillation: Aggregating Knowledge from Multiple Paths for Efficient Distillation. | Sumanth Chennupati, Mohammad Mahdi Kamani, Zhongwei Cheng, Lin Chen |
| 2020 | DAC | Learning to Quantize Deep Neural Networks: A Competitive-Collaborative Approach. | Md Fahim Faysal Khan, Mohammad Mahdi Kamani, Mehrdad Mahdavi, Vijaykrishnan Narayanan |
| 2020 | KDD | Targeted Data-driven Regularization for Out-of-Distribution Generalization. | Mohammad Mahdi Kamani, Sadegh Farhang, Mehrdad Mahdavi, James Z. Wang |
| 2019 | ICML | Trading Redundancy for Communication: Speeding up Distributed SGD for Non-convex Optimization. | Farzin Haddadpour, Mohammad Mahdi Kamani, Mehrdad Mahdavi, Viveck R. Cadambe |
| 2018 | ACSAC | Take It or Leave It: A Survey Study on Operating System Upgrade Practices. | Sadegh Farhang, Jake Weidman, Mohammad Mahdi Kamani, Jens Grossklags, Peng Liu |