BlockMarkchain: A Secure Decentralized Data Market with a Constant Load on the Blockchain. - Hamidreza Ehteram; Mohammad Taha Toghani; Mohammad Ali Maddah-Ali (CoRR, 2020)

Communication-Efficient and Fault-Tolerant Social Learning. - Mohammad Taha Toghani; César A. Uribe (ACSCC, 2021)

MP-Boost: Minipatch Boosting via Adaptive Feature and Observation Sampling. - Mohammad Taha Toghani; Genevera I. Allen (BigComp, 2021)

Momentum-inspired Low-Rank Coordinate Descent for Diagonally Constrained SDPs. - Junhyung Lyle Kim; Jose Antonio Lara Benitez; Mohammad Taha Toghani; Cameron R. Wolfe; Zhiwei Zhang 001; Anastasios Kyrillidis (CoRR, 2021)

Unbounded Gradients in Federated Learning with Buffered Asynchronous Aggregation. - Mohammad Taha Toghani; César A. Uribe (Allerton, 2022)

Scalable Average Consensus with Compressed Communications. - Mohammad Taha Toghani; César A. Uribe (ACC, 2022)

PersA-FL: Personalized Asynchronous Federated Learning. - Mohammad Taha Toghani; Soomin Lee; César A. Uribe (CoRR, 2022)

On arbitrary compression for decentralized consensus and stochastic optimization over directed networks. - Mohammad Taha Toghani; César A. Uribe (Eur. J. Control, 2022)

Communication-Efficient Distributed Cooperative Learning With Compressed Beliefs. - Mohammad Taha Toghani; César A. Uribe (IEEE Trans. Control. Netw. Syst., 2022)

Improving Denoising Diffusion Probabilistic Models via Exploiting Shared Representations. - Delaram Pirhayatifard; Mohammad Taha Toghani; Guha Balakrishnan; César A. Uribe (ACSSC, 2023)

On First-Order Meta-Reinforcement Learning with Moreau Envelopes. - Mohammad Taha Toghani; Sebastian Perez-Salazar; César A. Uribe (CDC, 2023)

Local Stochastic Factored Gradient Descent for Distributed Quantum State Tomography. - Junhyung Lyle Kim; Mohammad Taha Toghani; César A. Uribe; Anastasios Kyrillidis (IEEE Control. Syst. Lett., 2023)

PARS-Push: Personalized, Asynchronous and Robust Decentralized Optimization. - Mohammad Taha Toghani; Soomin Lee; César A. Uribe (IEEE Control. Syst. Lett., 2023)

A Moreau Envelope Approach for LQR Meta-Policy Estimation. - Ashwin Aravind; Mohammad Taha Toghani; César A. Uribe (CDC, 2024)

Adaptive Federated Learning with Auto-Tuned Clients. - Junhyung Lyle Kim; Mohammad Taha Toghani; César A. Uribe; Anastasios Kyrillidis (ICLR, 2024)