Artiklar med krav på offentlig åtkomst - Aryan MokhtariLäs mer
Tillgängliga någonstans: 73
Personalized federated learning with theoretical guarantees: A model-agnostic meta-learning approach
A Fallah, A Mokhtari, A Ozdaglar
Advances in neural information processing systems 33, 3557-3568, 2020
Krav: US National Science Foundation, US Department of Defense
Exploiting Shared Representations for Personalized Federated Learning
L Collins, H Hassani, A Mokhtari, S Shakkottai
International Conference on Machine Learning (ICML), 2021
Krav: US National Science Foundation, US Department of Defense
Federated learning with compression: Unified analysis and sharp guarantees
F Haddadpour, MM Kamani, A Mokhtari, M Mahdavi
International Conference on Artificial Intelligence and Statistics (AISTATS …, 2021
Krav: US National Science Foundation
On the convergence theory of gradient-based model-agnostic meta-learning algorithms
A Fallah, A Mokhtari, A Ozdaglar
International Conference on Artificial Intelligence and Statistics (AISTATS …, 2020
Krav: US Department of Defense
Online Optimization in Dynamic Environments: Improved Regret Rates for Strongly Convex Problems
A Mokhtari, S Shahrampour, A Jadbabaie, A Ribeiro
Decision and Control (CDC), 2016 IEEE 55th Conference on, 7195-7201, 2016
Krav: US National Science Foundation
Network Newton Distributed Optimization Methods
A Mokhtari, Q Ling, A Ribeiro
IEEE Transactions on Signal Processing 65 (1), 146-161, 2017
Krav: US National Science Foundation, US Department of Defense, National Natural …
DSA: Decentralized double stochastic averaging gradient algorithm
A Mokhtari, A Ribeiro
Journal of Machine Learning Research 17 (1), 2165-2199, 2016
Krav: US National Science Foundation
A Class of Prediction-Correction Methods for Time-Varying Convex Optimization
A Simonetto, A Mokhtari, A Koppel, G Leus, A Ribeiro
IEEE Transactions on Signal Processing 64 (17), 4576-4591, 2016
Krav: US National Science Foundation
An exact quantized decentralized gradient descent algorithm
A Reisizadeh, A Mokhtari, H Hassani, R Pedarsani
IEEE Transactions on Signal Processing 67 (19), 4934-4947, 2019
Krav: US National Science Foundation
Decentralized Quasi-Newton Methods
M Eisen, A Mokhtari, A Ribeiro
IEEE Transactions on Signal Processing 65 (10), 2613 - 2628, 2017
Krav: US National Science Foundation, US Department of Defense
DQM: Decentralized Quadratically Approximated Alternating Direction Method of Multipliers
A Mokhtari, W Shi, Q Ling, A Ribeiro
IEEE Transactions on Signal Processing 64 (19), 5158-5173, 2016
Krav: US National Science Foundation, National Natural Science Foundation of China
A Decentralized Second-Order Method with Exact Linear Convergence Rate for Consensus Optimization
A Mokhtari, W Shi, Q Ling, A Ribeiro
IEEE Transactions on Signal and Information Processing over Networks 2 (4 …, 2016
Krav: US National Science Foundation, National Natural Science Foundation of China
Straggler-resilient federated learning: Leveraging the interplay between statistical accuracy and system heterogeneity
A Reisizadeh, I Tziotis, H Hassani, A Mokhtari, R Pedarsani
IEEE Journal on Selected Areas in Information Theory 3 (2), 197-205, 2022
Krav: US National Science Foundation
Stochastic conditional gradient methods: From convex minimization to submodular maximization
A Mokhtari, H Hassani, A Karbasi
Journal of Machine Learning Research 21 (105), 1-49, 2020
Krav: US National Science Foundation, US Department of Defense
Direct Runge-Kutta Discretization Achieves Acceleration
J Zhang, A Mokhtari, S Sra, A Jadbabaie
Advances in Neural Information Processing Systems (NeurIPS), 2018
Krav: US Department of Defense
Robust and communication-efficient collaborative learning
A Reisizadeh, H Taheri, A Mokhtari, H Hassani, R Pedarsani
Advances in Neural Information Processing Systems (NeurIPS), 2019
Krav: US National Science Foundation
Fedavg with fine tuning: Local updates lead to representation learning
L Collins, H Hassani, A Mokhtari, S Shakkottai
Advances in Neural Information Processing Systems (NeurIPS) 35, 10572-10586, 2022
Krav: US National Science Foundation, US Department of Defense
Decentralized Prediction-Correction Methods for Networked Time-Varying Convex Optimization
A Simonetto, A Mokhtari, A Koppel, G Leus, A Ribeiro
IEEE Transactions on Automatic Control 62 (11), 5724-5738, 2017
Krav: US National Science Foundation, US Department of Defense
IQN: An incremental quasi-Newton method with local superlinear convergence rate
A Mokhtari, M Eisen, A Ribeiro
SIAM Journal on Optimization 28 (2), 1670-1698, 2018
Krav: US Department of Defense
Conditional gradient method for stochastic submodular maximization: Closing the gap
A Mokhtari, H Hassani, A Karbasi
International Conference on Artificial Intelligence and Statistics (AISTATS …, 2018
Krav: US National Science Foundation, US Department of Defense
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