Coordination via a relay. - Farzin Haddadpour; Mohammad Hossein Yassaee; Amin Gohari; Mohammad Reza Aref (ISIT, 2012)

On AVCs with quadratic constraints. - Farzin Haddadpour; Mahdi Jafari Siavoshani; Mayank Bakshi; Sidharth Jaggi (ISIT, 2013)

When is it possible to simulate a DMC channel from another? - Farzin Haddadpour; Mohammad Hossein Yassaee; Mohammad Reza Aref; Amin Gohari (ITW, 2013)

Finite-SNR diversity-multiplexing tradeoff in multi-relay channels. - Farzin Haddadpour; Ehsan Gholami; Seyed Hamed Rastegar; Hamid Behroozi (IWCIT, 2013)

Low-complexity stochastic Generalized Belief Propagation. - Farzin Haddadpour; Mahdi Jafari Siavoshani; Morteza Noshad (ISIT, 2016)

Simulation of a Channel With Another Channel. - Farzin Haddadpour; Mohammad Hossein Yassaee; Salman Beigi; Amin Gohari; Mohammad Reza Aref (IEEE Trans. Inf. Theory, 2017)

Cross-Iteration Coded Computing. - Farzin Haddadpour; Yaoqing Yang; Viveck R. Cadambe; Pulkit Grover (Allerton, 2018)

Codes for Distributed Finite Alphabet Matrix-Vector Multiplication. - Farzin Haddadpour; Viveck R. Cadambe (ISIT, 2018)

Straggler-Resilient and Communication-Efficient Distributed Iterative Linear Solver. - Farzin Haddadpour; Yaoqing Yang; Malhar Chaudhari; Viveck R. Cadambe; Pulkit Grover (CoRR, 2018)

Trading Redundancy for Communication: Speeding up Distributed SGD for Non-convex Optimization. - Farzin Haddadpour; Mohammad Mahdi Kamani; Mehrdad Mahdavi; Viveck R. Cadambe (ICML, 2019)

Local SGD with Periodic Averaging: Tighter Analysis and Adaptive Synchronization. - Farzin Haddadpour; Mohammad Mahdi Kamani; Mehrdad Mahdavi; Viveck R. Cadambe (NeurIPS, 2019)

On the Convergence of Local Descent Methods in Federated Learning. - Farzin Haddadpour; Mehrdad Mahdavi (CoRR, 2019)

FedSKETCH: Communication-Efficient and Private Federated Learning via Sketching. - Farzin Haddadpour; Belhal Karimi; Ping Li 001; Xiaoyun Li (CoRR, 2020)

On the Optimal Recovery Threshold of Coded Matrix Multiplication. - Sanghamitra Dutta; Mohammad Fahim; Farzin Haddadpour; Haewon Jeong; Viveck R. Cadambe; Pulkit Grover (IEEE Trans. Inf. Theory, 2020)

Federated Learning with Compression: Unified Analysis and Sharp Guarantees. - Farzin Haddadpour; Mohammad Mahdi Kamani; Aryan Mokhtari; Mehrdad Mahdavi (AISTATS, 2021)

Learning Distributionally Robust Models at Scale via Composite Optimization. - Farzin Haddadpour; Mohammad Mahdi Kamani; Mehrdad Mahdavi; Amin Karbasi (ICLR, 2022)

Black-Box Generalization: Stability of Zeroth-Order Learning. - Konstantinos E. Nikolakakis; Farzin Haddadpour; Dionysios S. Kalogerias; Amin Karbasi (NeurIPS, 2022)

Black-Box Generalization. - Konstantinos E. Nikolakakis; Farzin Haddadpour; Dionysios S. Kalogerias; Amin Karbasi (CoRR, 2022)

Efficient fair principal component analysis. - Mohammad Mahdi Kamani; Farzin Haddadpour; Rana Forsati; Mehrdad Mahdavi (Mach. Learn., 2022)

Beyond Lipschitz: Sharp Generalization and Excess Risk Bounds for Full-Batch GD. - Konstantinos E. Nikolakakis; Farzin Haddadpour; Amin Karbasi; Dionysios S. Kalogerias (ICLR, 2023)