Search Results - "Pedarsani, Ramtin"

Coded Computation Over Heterogeneous Clusters by Reisizadeh, Amirhossein, Prakash, Saurav, Pedarsani, Ramtin, Avestimehr, Amir Salman

“…In large-scale distributed computing clusters, such as Amazon EC2, there are several types of "system noise" that can result in major degradation of…”
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An Exact Quantized Decentralized Gradient Descent Algorithm by Reisizadeh, Amirhossein, Mokhtari, Aryan, Hassani, Hamed, Pedarsani, Ramtin

“…We consider the problem of decentralized consensus optimization, where the sum of <inline-formula><tex-math notation="LaTeX">n</tex-math></inline-formula>…”
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Platoons of connected vehicles can double throughput in urban roads by Lioris, Jennie, Pedarsani, Ramtin, Tascikaraoglu, Fatma Yildiz, Varaiya, Pravin

“…If vehicles cross intersections in platoons, the saturation flow rates can be increased by a factor as large as two or three. Such a platoon organization…”
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Communication-Aware Scheduling of Serial Tasks for Dispersed Computing by Yang, Chien-Sheng, Pedarsani, Ramtin, Avestimehr, A. Salman

“…There is a growing interest in the development of in-network dispersed computing paradigms that leverage the computing capabilities of heterogeneous resources…”
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Robustness and Adaptability of Reinforcement Learning-Based Cooperative Autonomous Driving in Mixed-Autonomy Traffic by Valiente, Rodolfo, Toghi, Behrad, Pedarsani, Ramtin, Fallah, Yaser P.

“…Building autonomous vehicles (AVs) is a complex problem, but enabling them to operate in the real world where they will be surrounded by human-driven vehicles…”
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Sharp Guarantees and Optimal Performance for Inference in Binary and Gaussian-Mixture Models by Taheri, Hossein, Pedarsani, Ramtin, Thrampoulidis, Christos

“…We study convex empirical risk minimization for high-dimensional inference in binary linear classification under both discriminative binary linear models, as…”
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Congestion-Aware Bi-Modal Delivery Systems Utilizing Drones by Beliaev, Mark, Mehr, Negar, Pedarsani, Ramtin

“…With e-commerce demand rising, logistic operators are investing in alternative delivery methods such as drones. Because of their aerial reach, drones can…”
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Speeding Up Distributed Machine Learning Using Codes by Lee, Kangwook, Lam, Maximilian, Pedarsani, Ramtin, Papailiopoulos, Dimitris, Ramchandran, Kannan

“…Codes are widely used in many engineering applications to offer robustness against noise . In large-scale systems, there are several types of noise that can…”
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Binary Classification Under ℓ0 Attacks for General Noise Distribution by Delgosha, Payam, Hassani, Hamed, Pedarsani, Ramtin

“…Adversarial examples have recently drawn considerable attention in the field of machine learning due to the fact that small perturbations in the data can…”
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Pricing for multi-modal pickup and delivery problems with heterogeneous users by Beliaev, Mark, Mehr, Negar, Pedarsani, Ramtin

“…In this paper, we study the pickup and delivery problem with multiple transportation modalities, and address the challenge of efficiently allocating…”
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Asymptotic Behavior of Adversarial Training in Binary Linear Classification by Taheri, Hossein, Pedarsani, Ramtin, Thrampoulidis, Christos

“…Adversarial training using empirical risk minimization (ERM) is the state-of-the-art method for defense against adversarial attacks, that is, against small…”
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Online Coded Caching by Pedarsani, Ramtin, Maddah-Ali, Mohammad Ali, Niesen, Urs

“…We consider a basic content distribution scenario consisting of a single origin server connected through a shared bottleneck link to a number of users each…”
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Routing for Traffic Networks With Mixed Autonomy by Lazar, Daniel A., Coogan, Samuel, Pedarsani, Ramtin

“…In this article, we propose a macroscopic model for studying routing on networks shared between human-driven and autonomous vehicles that captures the effects…”
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SAFFRON: A fast, efficient, and robust framework for group testing based on sparse-graph codes by Kangwook Lee, Pedarsani, Ramtin, Ramchandran, Kannan

“…The group testing problem is to identify a population of K defective items from a set of n items by pooling groups of items. The result of a test for a group…”
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Generalized Likelihood Ratio Test for Adversarially Robust Hypothesis Testing by Puranik, Bhagyashree, Madhow, Upamanyu, Pedarsani, Ramtin

“…Machine learning models are known to be susceptible to adversarial attacks, which can cause misclassification by introducing small but well designed…”
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Learning how to dynamically route autonomous vehicles on shared roads by Lazar, Daniel A., Bıyık, Erdem, Sadigh, Dorsa, Pedarsani, Ramtin

“…•Autonomous vehicles increase the road capacities under the CTM model.•Reinforcement learning achieves routing autonomous vehicles to minimize latency.•Optimal…”
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Learning Mixtures of Sparse Linear Regressions Using Sparse Graph Codes by Yin, Dong, Pedarsani, Ramtin, Chen, Yudong, Ramchandran, Kannan

“…In this paper, we consider the mixture of sparse linear regressions model. Let <inline-formula> <tex-math notation="LaTeX">\boldsymbol {\beta }^{(1)},\ldots,…”
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Provably Private Distributed Averaging Consensus: An Information-Theoretic Approach by Fereydounian, Mohammad, Mokhtari, Aryan, Pedarsani, Ramtin, Hassani, Hamed

“…In this work, we focus on solving a decentralized consensus problem in a private manner. Specifically, we consider a setting in which a group of nodes,…”
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Straggler-Resilient Federated Learning: Leveraging the Interplay Between Statistical Accuracy and System Heterogeneity by Reisizadeh, Amirhossein, Tziotis, Isidoros, Hassani, Hamed, Mokhtari, Aryan, Pedarsani, Ramtin

“…Federated learning is a novel paradigm that involves learning from data samples distributed across a large network of clients while the data remains local. It…”
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Coded Computing for Distributed Graph Analytics by Prakash, Saurav, Reisizadeh, Amirhossein, Pedarsani, Ramtin, Avestimehr, Amir Salman

“…Many distributed computing systems have been developed recently for implementing graph based algorithms such as PageRank over large-scale graph-structured…”
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