Large Scale Machine Learning and Federated Optimization 

Black-Box Generalization

 Konstantinos E. Nikolakakis, Farzin Haddadpour, Dionysios S. Kalogerias, and Amin Karbasi.

Learning distributionally robust models at scale via composite optimization

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

Efficient fair principal component analysis

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

Federated learning with compression: Unified analysis and sharp guarantees

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

FedSKETCH: Communication-Efficient and private Federated learning via sketching

 Farzin Haddadpour,  Belhal Karimi,  Ping Li and  Xiaoyun Li

Local SGD with periodic averaging: Tighter analysis and adaptive synchronization

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

Trading redundancy for communication: Speeding up distributed SGD for non-convex optimization

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

On the convergence of local descent methods in federated learning

Farzin Haddadpour and Mehrdad Mahdavi