Mohammad Taha Toghani

Orcid: 0000-0002-8025-0012

According to our database1, Mohammad Taha Toghani authored at least 16 papers between 2020 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2025
<tt>PersA-FL</tt> : personalized asynchronous federated learning.
Optim. Methods Softw., September, 2025

2024
Adaptive Federated Learning with Auto-Tuned Clients.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

A Moreau Envelope Approach for LQR Meta-Policy Estimation.
Proceedings of the 63rd IEEE Conference on Decision and Control, 2024

2023
PARS-Push: Personalized, Asynchronous and Robust Decentralized Optimization.
IEEE Control. Syst. Lett., 2023

Local Stochastic Factored Gradient Descent for Distributed Quantum State Tomography.
IEEE Control. Syst. Lett., 2023

On First-Order Meta-Reinforcement Learning with Moreau Envelopes.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Improving Denoising Diffusion Probabilistic Models via Exploiting Shared Representations.
Proceedings of the 57th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2023, Pacific Grove, CA, USA, October 29, 2023

2022
Communication-Efficient Distributed Cooperative Learning With Compressed Beliefs.
IEEE Trans. Control. Netw. Syst., 2022

On arbitrary compression for decentralized consensus and stochastic optimization over directed networks.
Eur. J. Control, 2022

PersA-FL: Personalized Asynchronous Federated Learning.
CoRR, 2022

Scalable Average Consensus with Compressed Communications.
Proceedings of the American Control Conference, 2022

Unbounded Gradients in Federated Learning with Buffered Asynchronous Aggregation.
Proceedings of the 58th Annual Allerton Conference on Communication, 2022

2021
Momentum-inspired Low-Rank Coordinate Descent for Diagonally Constrained SDPs.
CoRR, 2021

MP-Boost: Minipatch Boosting via Adaptive Feature and Observation Sampling.
Proceedings of the IEEE International Conference on Big Data and Smart Computing, 2021

Communication-Efficient and Fault-Tolerant Social Learning.
Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021

2020
BlockMarkchain: A Secure Decentralized Data Market with a Constant Load on the Blockchain.
CoRR, 2020


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