Mohammad Taha Toghani

According to our database, Mohammad Taha Toghani authored at least 15 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

A Moreau Envelope Approach for LQR Meta-Policy Estimation.

Ashwin Aravind, Mohammad Taha Toghani, César A. Uribe

CoRR, 2024

Adaptive Federated Learning with Auto-Tuned Clients.

Junhyung Lyle Kim, Mohammad Taha Toghani, César A. Uribe, Anastasios Kyrillidis

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

PARS-Push: Personalized, Asynchronous and Robust Decentralized Optimization.

Mohammad Taha Toghani, Soomin Lee, César A. Uribe

IEEE Control. Syst. Lett., 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

On First-Order Meta-Reinforcement Learning with Moreau Envelopes.

Mohammad Taha Toghani, Sebastian Perez-Salazar, César A. Uribe

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Improving Denoising Diffusion Probabilistic Models via Exploiting Shared Representations.

Delaram Pirhayatifard, Mohammad Taha Toghani, Guha Balakrishnan, César A. Uribe

Proceedings of the 57th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2023, Pacific Grove, CA, USA, October 29, 2023

2022

Communication-Efficient Distributed Cooperative Learning With Compressed Beliefs.

Mohammad Taha Toghani, César A. Uribe

IEEE Trans. Control. Netw. Syst., 2022

On arbitrary compression for decentralized consensus and stochastic optimization over directed networks.

Mohammad Taha Toghani, César A. Uribe

Eur. J. Control, 2022

PersA-FL: Personalized Asynchronous Federated Learning.

Mohammad Taha Toghani, Soomin Lee, César A. Uribe

CoRR, 2022

Scalable Average Consensus with Compressed Communications.

Mohammad Taha Toghani, César A. Uribe

Proceedings of the American Control Conference, 2022

Unbounded Gradients in Federated Learning with Buffered Asynchronous Aggregation.

Mohammad Taha Toghani, César A. Uribe

Proceedings of the 58th Annual Allerton Conference on Communication, 2022

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, Anastasios Kyrillidis

CoRR, 2021

MP-Boost: Minipatch Boosting via Adaptive Feature and Observation Sampling.

Mohammad Taha Toghani, Genevera I. Allen

Proceedings of the IEEE International Conference on Big Data and Smart Computing, 2021

Communication-Efficient and Fault-Tolerant Social Learning.

Mohammad Taha Toghani, César A. Uribe

Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021

2020

BlockMarkchain: A Secure Decentralized Data Market with a Constant Load on the Blockchain.

Hamidreza Ehteram, Mohammad Taha Toghani, Mohammad Ali Maddah-Ali

CoRR, 2020