| Communication-efficient distributed cooperative learning with compressed beliefs MT Toghani, CA Uribe IEEE Transactions on Control of Network Systems 9 (3), 1215-1226, 2022 | 15 | 2022 |
| Unbounded gradients in federated learning with buffered asynchronous aggregation MT Toghani, CA Uribe 2022 58th Annual Allerton Conference on Communication, Control, and …, 2022 | 14 | 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 | 10 | 2021 |
| Pars-push: Personalized, asynchronous and robust decentralized optimization MT Toghani, S Lee, CA Uribe IEEE Control Systems Letters 7, 361-366, 2022 | 7 | 2022 |
| Scalable average consensus with compressed communications MT Toghani, CA Uribe 2022 American Control Conference (ACC), 3412-3417, 2022 | 7 | 2022 |
| PersA-FL: personalized asynchronous federated learning MT Toghani, S Lee, CA Uribe Optimization Methods and Software, 1-38, 2023 | 6 | 2023 |
| Adaptive federated learning with auto-tuned clients JL Kim, MT Toghani, CA Uribe, A Kyrillidis arXiv preprint arXiv:2306.11201, 2023 | 5 | 2023 |
| Communication-efficient and fault-tolerant social learning MT Toghani, CA Uribe 2021 55th Asilomar Conference on Signals, Systems, and Computers, 1037-1042, 2021 | 5 | 2021 |
| 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 | 3 | 2023 |
| On arbitrary compression for decentralized consensus and stochastic optimization over directed networks MT Toghani, CA Uribe European Journal of Control 68, 100682, 2022 | 3 | 2022 |
| 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 | 3 | 2020 |
| A Moreau Envelope Approach for LQR Meta-Policy Estimation A Aravind, MT Toghani, CA Uribe arXiv preprint arXiv:2403.17364, 2024 | 2 | 2024 |
| 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 | 2 | 2022 |
| Towards Scalable and Personalized Collaborative Learning MT Toghani Rice University, 2024 | | 2024 |
| Improving Denoising Diffusion Probabilistic Models via Exploiting Shared Representations D Pirhayatifard, MT Toghani, G Balakrishnan, CA Uribe 2023 57th Asilomar Conference on Signals, Systems, and Computers, 789-793, 2023 | | 2023 |
| Communication-Efficient Decentralized Cooperative Learning T Toghani | | 2023 |
| 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 | | 2021 |
| 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 …, 0 | | |
César A. UribeRice University在 rice.edu 的电子邮件经过验证
