Mohammad Taha Toghani
Mohammad Taha Toghani
Other namesTaha Toghani, M. Taha Toghani
Ph.D. Student, Rice University
Verified email at - Homepage
Cited by
Cited by
Communication-efficient distributed cooperative learning with compressed beliefs
MT Toghani, CA Uribe
IEEE Transactions on Control of Network Systems 9 (3), 1215-1226, 2022
MP-Boost: Minipatch Boosting via Adaptive Feature and Observation Sampling
MT Toghani, GI Allen
2021 IEEE International Conference on Big Data and Smart Computing (BigComp …, 2021
Unbounded gradients in federated learning with buffered asynchronous aggregation
MT Toghani, CA Uribe
2022 58th Annual Allerton Conference on Communication, Control, and …, 2022
Scalable average consensus with compressed communications
MT Toghani, CA Uribe
2022 American Control Conference (ACC), 3412-3417, 2022
PersA-FL: personalized asynchronous federated learning
MT Toghani, S Lee, CA Uribe
Optimization Methods and Software, 1-38, 2023
Pars-push: Personalized, asynchronous and robust decentralized optimization
MT Toghani, S Lee, CA Uribe
IEEE Control Systems Letters 7, 361-366, 2022
Adaptive federated learning with auto-tuned clients
JL Kim, MT Toghani, CA Uribe, A Kyrillidis
arXiv preprint arXiv:2306.11201, 2023
Communication-efficient and fault-tolerant social learning
MT Toghani, CA Uribe
2021 55th Asilomar Conference on Signals, Systems, and Computers, 1037-1042, 2021
Blockmarkchain: A secure decentralized data market with a constant load on the blockchain
H Ehteram, MT Toghani, MA Maddah-Ali
arXiv preprint arXiv:2003.11424, 2020
Local Stochastic Factored Gradient Descent for Distributed Quantum State Tomography
JL Kim, MT Toghani, CA Uribe, A Kyrillidis
IEEE Control Systems Letters 7, 199-204, 2022
On first-order meta-reinforcement learning with moreau envelopes
MT Toghani, S Perez-Salazar, CA Uribe
2023 62nd IEEE Conference on Decision and Control (CDC), 4176-4181, 2023
On arbitrary compression for decentralized consensus and stochastic optimization over directed networks
MT Toghani, CA Uribe
European Journal of Control 68, 100682, 2022
A Moreau Envelope Approach for LQR Meta-Policy Estimation
A Aravind, MT Toghani, CA Uribe
arXiv preprint arXiv:2403.17364, 2024
Improving Denoising Diffusion Probabilistic Models via Exploiting Shared Representations
D Pirhayatifard, MT Toghani, G Balakrishnan, CA Uribe
arXiv preprint arXiv:2311.16353, 2023
Adaptive Federated Learning with Auto-Tuned Clients via Local Smoothness
JL Kim, T Toghani, CA Uribe, A Kyrillidis
Federated Learning and Analytics in Practice: Algorithms, Systems …, 2023
Communication-Efficient Decentralized Cooperative Learning
T Toghani
Momentum-inspired Low-Rank Coordinate Descent for Diagonally Constrained SDPs
JL Kim, JA Benitez, MT Toghani, C Wolfe, Z Zhang, A Kyrillidis
arXiv preprint arXiv:2106.08775, 2021
The system can't perform the operation now. Try again later.
Articles 1–17