Mohammad Taha Toghani

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 24

Top Topics

Cooperative Learning

Universally Quantified

Stochastic Optimization

Top Venues

IEEE Control. Syst. Lett.

Eur. J. Control

IEEE Trans. Control. Netw. Syst.

Publications

Junhyung Lyle Kim, Mohammad Taha Toghani, César A. Uribe, Anastasios Kyrillidis
Adaptive Federated Learning with Auto-Tuned Clients. ICLR (2024)
Ashwin Aravind, Mohammad Taha Toghani, César A. Uribe
A Moreau Envelope Approach for LQR Meta-Policy Estimation. CoRR (2024)
Junhyung Lyle Kim, Mohammad Taha Toghani, César A. Uribe, Anastasios Kyrillidis
Adaptive Federated Learning with Auto-Tuned Clients. CoRR (2023)
Delaram Pirhayatifard, Mohammad Taha Toghani, Guha Balakrishnan, César A. Uribe
Improving Denoising Diffusion Probabilistic Models via Exploiting Shared Representations. ACSSC (2023)
Mohammad Taha Toghani, Soomin Lee, César A. Uribe
PARS-Push: Personalized, Asynchronous and Robust Decentralized Optimization. IEEE Control. Syst. Lett. 7 (2023)
Junhyung Lyle Kim, Mohammad Taha Toghani, César A. Uribe, Anastasios Kyrillidis
Local Stochastic Factored Gradient Descent for Distributed Quantum State Tomography. IEEE Control. Syst. Lett. 7 (2023)
Mohammad Taha Toghani, Sebastian Perez-Salazar, César A. Uribe
On First-Order Meta-Reinforcement Learning with Moreau Envelopes. CoRR (2023)
Delaram Pirhayatifard, Mohammad Taha Toghani, Guha Balakrishnan, César A. Uribe
Improving Denoising Diffusion Probabilistic Models via Exploiting Shared Representations. CoRR (2023)
Mohammad Taha Toghani, Sebastian Perez-Salazar, César A. Uribe
On First-Order Meta-Reinforcement Learning with Moreau Envelopes. CDC (2023)
Mohammad Taha Toghani, César A. Uribe
Communication-Efficient Distributed Cooperative Learning With Compressed Beliefs. IEEE Trans. Control. Netw. Syst. 9 (3) (2022)
Mohammad Taha Toghani, Soomin Lee, César A. Uribe
PersA-FL: Personalized Asynchronous Federated Learning. CoRR (2022)
Mohammad Taha Toghani, César A. Uribe
On Arbitrary Compression for Decentralized Consensus and Stochastic Optimization over Directed Networks. CoRR (2022)
Mohammad Taha Toghani, César A. Uribe
Unbounded Gradients in Federated Learning with Buffered Asynchronous Aggregation. CoRR (2022)
Mohammad Taha Toghani, César A. Uribe
Scalable Average Consensus with Compressed Communications. ACC (2022)
Mohammad Taha Toghani, César A. Uribe
On arbitrary compression for decentralized consensus and stochastic optimization over directed networks. Eur. J. Control 68 (2022)
Junhyung Lyle Kim, Mohammad Taha Toghani, César A. Uribe, Anastasios Kyrillidis
Local Stochastic Factored Gradient Descent for Distributed Quantum State Tomography. CoRR (2022)
Mohammad Taha Toghani, César A. Uribe
Unbounded Gradients in Federated Learning with Buffered Asynchronous Aggregation. Allerton (2022)
Mohammad Taha Toghani, César A. Uribe
Scalable Average Consensus with Compressed Communications. CoRR (2021)
Mohammad Taha Toghani, Genevera I. Allen
MP-Boost: Minipatch Boosting via Adaptive Feature and Observation Sampling. BigComp (2021)
Junhyung Lyle Kim, Jose Antonio Lara Benitez, Mohammad Taha Toghani, Cameron R. Wolfe, Zhiwei Zhang, Anastasios Kyrillidis
Momentum-inspired Low-Rank Coordinate Descent for Diagonally Constrained SDPs. CoRR (2021)
Mohammad Taha Toghani, Cesar A. Uribe
Communication-Efficient Distributed Cooperative Learning with Compressed Beliefs. CoRR (2021)
Mohammad Taha Toghani, César A. Uribe
Communication-Efficient and Fault-Tolerant Social Learning. ACSCC (2021)
Hamidreza Ehteram, Mohammad Taha Toghani, Mohammad Ali Maddah-Ali
BlockMarkchain: A Secure Decentralized Data Market with a Constant Load on the Blockchain. CoRR (2020)
Mohammad Taha Toghani, Genevera I. Allen
MP-Boost: Minipatch Boosting via Adaptive Feature and Observation Sampling. CoRR (2020)