Mohammad Taha Toghani

25 papers A* 1C 1Misc 1Journal 17Unranked 5
YearRankTypeTitle / Venue / Authors
2024 — conf
A Moreau Envelope Approach for LQR Meta-Policy Estimation.
CDC
Ashwin Aravind, Mohammad Taha Toghani, César A. Uribe
2024 J jnl
A Moreau Envelope Approach for LQR Meta-Policy Estimation.
CoRR
Ashwin Aravind, Mohammad Taha Toghani, César A. Uribe
2024 A* conf
Adaptive Federated Learning with Auto-Tuned Clients.
ICLR
Junhyung Lyle Kim, Mohammad Taha Toghani, César A. Uribe, Anastasios Kyrillidis
2023 J jnl
Adaptive Federated Learning with Auto-Tuned Clients.
CoRR
Junhyung Lyle Kim, Mohammad Taha Toghani, César A. Uribe, Anastasios Kyrillidis
2023 Misc conf
Improving Denoising Diffusion Probabilistic Models via Exploiting Shared Representations.
ACSSC
Delaram Pirhayatifard, Mohammad Taha Toghani, Guha Balakrishnan, César A. Uribe
2023 J jnl
Improving Denoising Diffusion Probabilistic Models via Exploiting Shared Representations.
CoRR
Delaram Pirhayatifard, Mohammad Taha Toghani, Guha Balakrishnan, César A. Uribe
2023 J jnl
Local Stochastic Factored Gradient Descent for Distributed Quantum State Tomography.
IEEE Control. Syst. Lett.
Junhyung Lyle Kim, Mohammad Taha Toghani, César A. Uribe, Anastasios Kyrillidis
2023 — conf
On First-Order Meta-Reinforcement Learning with Moreau Envelopes.
CDC
Mohammad Taha Toghani, Sebastian Perez-Salazar, César A. Uribe
2023 J jnl
On First-Order Meta-Reinforcement Learning with Moreau Envelopes.
CoRR
Mohammad Taha Toghani, Sebastian Perez-Salazar, César A. Uribe
2023 J jnl
PARS-Push: Personalized, Asynchronous and Robust Decentralized Optimization.
IEEE Control. Syst. Lett.
Mohammad Taha Toghani, Soomin Lee, César A. Uribe
2022 J jnl
Communication-Efficient Distributed Cooperative Learning With Compressed Beliefs.
IEEE Trans. Control. Netw. Syst.
Mohammad Taha Toghani, César A. Uribe
2022 J jnl
Local Stochastic Factored Gradient Descent for Distributed Quantum State Tomography.
CoRR
Junhyung Lyle Kim, Mohammad Taha Toghani, César A. Uribe, Anastasios Kyrillidis
2022 J jnl
On Arbitrary Compression for Decentralized Consensus and Stochastic Optimization over Directed Networks.
CoRR
Mohammad Taha Toghani, César A. Uribe
2022 J jnl
On arbitrary compression for decentralized consensus and stochastic optimization over directed networks.
Eur. J. Control
Mohammad Taha Toghani, César A. Uribe
2022 J jnl
PersA-FL: Personalized Asynchronous Federated Learning.
CoRR
Mohammad Taha Toghani, Soomin Lee, César A. Uribe
2022 C conf
Scalable Average Consensus with Compressed Communications.
ACC
Mohammad Taha Toghani, César A. Uribe
2022 — conf
Unbounded Gradients in Federated Learning with Buffered Asynchronous Aggregation.
Allerton
Mohammad Taha Toghani, César A. Uribe
2022 J jnl
Unbounded Gradients in Federated Learning with Buffered Asynchronous Aggregation.
CoRR
Mohammad Taha Toghani, César A. Uribe
2021 J jnl
Communication-Efficient Distributed Cooperative Learning with Compressed Beliefs.
CoRR
Mohammad Taha Toghani, Cesar A. Uribe
2021 — conf
Communication-Efficient and Fault-Tolerant Social Learning.
ACSCC
Mohammad Taha Toghani, César A. Uribe
2021 — conf
MP-Boost: Minipatch Boosting via Adaptive Feature and Observation Sampling.
BigComp
Mohammad Taha Toghani, Genevera I. Allen
2021 J jnl
Momentum-inspired Low-Rank Coordinate Descent for Diagonally Constrained SDPs.
CoRR
Junhyung Lyle Kim, Jose Antonio Lara Benitez, Mohammad Taha Toghani, Cameron R. Wolfe, Zhiwei Zhang, Anastasios Kyrillidis
2021 J jnl
Scalable Average Consensus with Compressed Communications.
CoRR
Mohammad Taha Toghani, César A. Uribe
2020 J jnl
BlockMarkchain: A Secure Decentralized Data Market with a Constant Load on the Blockchain.
CoRR
Hamidreza Ehteram, Mohammad Taha Toghani, Mohammad Ali Maddah-Ali
2020 J jnl
MP-Boost: Minipatch Boosting via Adaptive Feature and Observation Sampling.
CoRR
Mohammad Taha Toghani, Genevera I. Allen