Search Results - Mohammad Taha Toghani

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  1. 1
    On arbitrary compression for decentralized consensus and stochastic optimization over directed networks

    On arbitrary compression for decentralized consensus and stochastic optimization over directed networks by Toghani, Mohammad Taha, Uribe, César A.

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  2. 2
    Communication-Efficient Distributed Cooperative Learning With Compressed Beliefs

    Communication-Efficient Distributed Cooperative Learning With Compressed Beliefs by Toghani, Mohammad Taha, Uribe, Cesar A.

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  3. 3
    Improving Denoising Diffusion Probabilistic Models via Exploiting Shared Representations

    Improving Denoising Diffusion Probabilistic Models via Exploiting Shared Representations by Pirhayatifard, Delaram, Toghani, Mohammad Taha, Balakrishnan, Guha, Uribe, Cesar A.

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  4. 4
    PersA-FL : personalized asynchronous federated learning

    PersA-FL : personalized asynchronous federated learning by Toghani, Mohammad Taha, Lee, Soomin, Uribe, César A.

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  5. 5
    MP-Boost: Minipatch Boosting via Adaptive Feature and Observation Sampling

    MP-Boost: Minipatch Boosting via Adaptive Feature and Observation Sampling by Mohammad Taha Toghani, Allen, Genevera I

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  6. 6
    PARS-Push: Personalized, Asynchronous and Robust Decentralized Optimization

    PARS-Push: Personalized, Asynchronous and Robust Decentralized Optimization by Toghani, Mohammad Taha, Lee, Soomin, Uribe, Cesar A.

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  7. 7
    Communication-Efficient and Fault-Tolerant Social Learning

    Communication-Efficient and Fault-Tolerant Social Learning by Toghani, Mohammad Taha, Uribe, Cesar A.

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  8. 8
    Local Stochastic Factored Gradient Descent for Distributed Quantum State Tomography

    Local Stochastic Factored Gradient Descent for Distributed Quantum State Tomography by Kim, Junhyung Lyle, Toghani, Mohammad Taha, Uribe, Cesar A., Kyrillidis, Anastasios

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  9. 9
    Scalable Average Consensus with Compressed Communications

    Scalable Average Consensus with Compressed Communications by Toghani, Mohammad Taha, Uribe, Cesar A.

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  10. 10
    Unbounded Gradients in Federated Learning with Buffered Asynchronous Aggregation

    Unbounded Gradients in Federated Learning with Buffered Asynchronous Aggregation by Mohammad Taha Toghani, Uribe, César A

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  11. 11
    A Moreau Envelope Approach for LQR Meta-Policy Estimation

    A Moreau Envelope Approach for LQR Meta-Policy Estimation by Aravind, Ashwin, Mohammad Taha Toghani, Uribe, César A

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  12. 12
    MP-Boost: Minipatch Boosting via Adaptive Feature and Observation Sampling

    MP-Boost: Minipatch Boosting via Adaptive Feature and Observation Sampling by Toghani, Mohammad Taha, Allen, Genevera I.

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  13. 13
    On Arbitrary Compression for Decentralized Consensus and Stochastic Optimization over Directed Networks

    On Arbitrary Compression for Decentralized Consensus and Stochastic Optimization over Directed Networks by Mohammad Taha Toghani, Uribe, César A

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  14. 14
    Improving Denoising Diffusion Probabilistic Models via Exploiting Shared Representations

    Improving Denoising Diffusion Probabilistic Models via Exploiting Shared Representations by Pirhayatifard, Delaram, Mohammad Taha Toghani, Guha Balakrishnan, Uribe, César A

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  15. 15
    PersA-FL: Personalized Asynchronous Federated Learning

    PersA-FL: Personalized Asynchronous Federated Learning by Mohammad Taha Toghani, Lee, Soomin, Uribe, César A

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  16. 16
    Communication-efficient Distributed Cooperative Learning with Compressed Beliefs

    Communication-efficient Distributed Cooperative Learning with Compressed Beliefs by Mohammad Taha Toghani, Uribe, César A

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  17. 17
    Scalable Average Consensus with Compressed Communications

    Scalable Average Consensus with Compressed Communications by Mohammad Taha Toghani, Uribe, César A

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  18. 18
    On First-Order Meta-Reinforcement Learning with Moreau Envelopes

    On First-Order Meta-Reinforcement Learning with Moreau Envelopes by Mohammad Taha Toghani, Perez-Salazar, Sebastian, Uribe, César A

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  19. 19
    Adaptive Federated Learning with Auto-Tuned Clients

    Adaptive Federated Learning with Auto-Tuned Clients by Kim, Junhyung Lyle, Mohammad Taha Toghani, Uribe, César A, Kyrillidis, Anastasios

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  20. 20
    Local Stochastic Factored Gradient Descent for Distributed Quantum State Tomography

    Local Stochastic Factored Gradient Descent for Distributed Quantum State Tomography by Kim, Junhyung Lyle, Mohammad Taha Toghani, Uribe, César A, Kyrillidis, Anastasios

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