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ORCIDMohammad Taha Toghani
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2020 – today
- 2024
[c7]Junhyung Lyle Kim, Mohammad Taha Toghani, César A. Uribe, Anastasios Kyrillidis:
Adaptive Federated Learning with Auto-Tuned Clients. ICLR 2024- [i13]Ashwin Aravind, Mohammad Taha Toghani, César A. Uribe:
A Moreau Envelope Approach for LQR Meta-Policy Estimation. CoRR abs/2403.17364 (2024) - 2023
- [j4]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: 199-204 (2023) - [j3]Mohammad Taha Toghani, Soomin Lee, César A. Uribe:
PARS-Push: Personalized, Asynchronous and Robust Decentralized Optimization. IEEE Control. Syst. Lett. 7: 361-366 (2023) - [c6]Delaram Pirhayatifard, Mohammad Taha Toghani, Guha Balakrishnan, César A. Uribe:
Improving Denoising Diffusion Probabilistic Models via Exploiting Shared Representations. ACSSC 2023: 789-793 - [c5]Mohammad Taha Toghani, Sebastian Perez-Salazar, César A. Uribe:
On First-Order Meta-Reinforcement Learning with Moreau Envelopes. CDC 2023: 4176-4181 - [i12]Mohammad Taha Toghani, Sebastian Perez-Salazar, César A. Uribe:
On First-Order Meta-Reinforcement Learning with Moreau Envelopes. CoRR abs/2305.12216 (2023) - [i11]Junhyung Lyle Kim, Mohammad Taha Toghani, César A. Uribe, Anastasios Kyrillidis:
Adaptive Federated Learning with Auto-Tuned Clients. CoRR abs/2306.11201 (2023) - [i10]Delaram Pirhayatifard, Mohammad Taha Toghani, Guha Balakrishnan, César A. Uribe:
Improving Denoising Diffusion Probabilistic Models via Exploiting Shared Representations. CoRR abs/2311.16353 (2023) - 2022
- [j2]Mohammad Taha Toghani, César A. Uribe:
On arbitrary compression for decentralized consensus and stochastic optimization over directed networks. Eur. J. Control 68: 100682 (2022) - [j1]Mohammad Taha Toghani, César A. Uribe:
Communication-Efficient Distributed Cooperative Learning With Compressed Beliefs. IEEE Trans. Control. Netw. Syst. 9(3): 1215-1226 (2022) - [c4]Mohammad Taha Toghani, César A. Uribe:
Unbounded Gradients in Federated Learning with Buffered Asynchronous Aggregation. Allerton 2022: 1-8 - [c3]Mohammad Taha Toghani, César A. Uribe:
Scalable Average Consensus with Compressed Communications. ACC 2022: 3412-3417 - [i9]Junhyung Lyle Kim, Mohammad Taha Toghani, César A. Uribe, Anastasios Kyrillidis:
Local Stochastic Factored Gradient Descent for Distributed Quantum State Tomography. CoRR abs/2203.11579 (2022) - [i8]Mohammad Taha Toghani, César A. Uribe:
On Arbitrary Compression for Decentralized Consensus and Stochastic Optimization over Directed Networks. CoRR abs/2204.08160 (2022) - [i7]Mohammad Taha Toghani, César A. Uribe:
Unbounded Gradients in Federated Learning with Buffered Asynchronous Aggregation. CoRR abs/2210.01161 (2022) - [i6]Mohammad Taha Toghani, Soomin Lee, César A. Uribe:
PersA-FL: Personalized Asynchronous Federated Learning. CoRR abs/2210.01176 (2022) - 2021
- [c2]Mohammad Taha Toghani, César A. Uribe:
Communication-Efficient and Fault-Tolerant Social Learning. ACSCC 2021: 1037-1042 - [c1]Mohammad Taha Toghani, Genevera I. Allen:
MP-Boost: Minipatch Boosting via Adaptive Feature and Observation Sampling. BigComp 2021: 75-78 - [i5]Mohammad Taha Toghani, Cesar A. Uribe:
Communication-Efficient Distributed Cooperative Learning with Compressed Beliefs. CoRR abs/2102.07767 (2021) - [i4]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 abs/2106.08775 (2021) - [i3]Mohammad Taha Toghani, César A. Uribe:
Scalable Average Consensus with Compressed Communications. CoRR abs/2109.06996 (2021) - 2020
- [i2]Hamidreza Ehteram, Mohammad Taha Toghani, Mohammad Ali Maddah-Ali:
BlockMarkchain: A Secure Decentralized Data Market with a Constant Load on the Blockchain. CoRR abs/2003.11424 (2020) - [i1]Mohammad Taha Toghani, Genevera I. Allen:
MP-Boost: Minipatch Boosting via Adaptive Feature and Observation Sampling. CoRR abs/2011.07218 (2020)
Coauthor Index
aka: Cesar A. Uribe
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