Ramtin Pedarsani

Orcid: 0000-0002-1126-0292

According to our database1, Ramtin Pedarsani authored at least 112 papers between 2010 and 2024.

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

Timeline

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Bibliography

2024
Binary Classification Under ℓ0 Attacks for General Noise Distribution.
IEEE Trans. Inf. Theory, February, 2024

The Fair Value of Data Under Heterogeneous Privacy Constraints in Federated Learning.
Trans. Mach. Learn. Res., 2024

Long-Term Fairness in Sequential Multi-Agent Selection With Positive Reinforcement.
IEEE J. Sel. Areas Inf. Theory, 2024

Efficient and Robust Classification for Sparse Attacks.
IEEE J. Sel. Areas Inf. Theory, 2024

Conflict-Aware Adversarial Training.
CoRR, 2024

Communication-Efficient and Tensorized Federated Fine-Tuning of Large Language Models.
CoRR, 2024

Robust Decentralized Learning with Local Updates and Gradient Tracking.
CoRR, 2024

Generalization Properties of Adversarial Training for 𝓁<sub>0</sub>-Bounded Adversarial Attacks.
CoRR, 2024

Learning to Understand: Identifying Interactions via the Mobius Transform.
CoRR, 2024

Inverse Reinforcement Learning by Estimating Expertise of Demonstrators.
CoRR, 2024

Communication-efficient and Decentralized Federated Minimax Optimization.
Proceedings of the 60th Annual Allerton Conference on Communication, 2024

2023
Provably Private Distributed Averaging Consensus: An Information-Theoretic Approach.
IEEE Trans. Inf. Theory, November, 2023

Straggler-Resilient Personalized Federated Learning.
Trans. Mach. Learn. Res., 2023

Pricing for Multi-modal Pickup and Delivery Problems with Heterogeneous Users.
CoRR, 2023

The Fair Value of Data Under Heterogeneous Privacy Constraints.
CoRR, 2023

Generalization Properties of Adversarial Training for -ℓ0 Bounded Adversarial Attacks.
Proceedings of the IEEE Information Theory Workshop, 2023

Equal Improvability: A New Fairness Notion Considering the Long-term Impact.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022
Generalized Likelihood Ratio Test for Adversarially Robust Hypothesis Testing.
IEEE Trans. Signal Process., 2022

CodedReduce: A Fast and Robust Framework for Gradient Aggregation in Distributed Learning.
IEEE/ACM Trans. Netw., 2022

Social Coordination and Altruism in Autonomous Driving.
IEEE Trans. Intell. Transp. Syst., 2022

Robust Classification Under $\ell_0$ Attack for the Gaussian Mixture Model.
SIAM J. Math. Data Sci., 2022

Straggler-Resilient Federated Learning: Leveraging the Interplay Between Statistical Accuracy and System Heterogeneity.
IEEE J. Sel. Areas Inf. Theory, 2022

An Optimal Transport Approach to Personalized Federated Learning.
IEEE J. Sel. Areas Inf. Theory, 2022

Learning-based social coordination to improve safety and robustness of cooperative autonomous vehicles in mixed traffic.
CoRR, 2022

Binary Classification Under 𝓁<sub>0</sub> Attacks for General Noise Distribution.
CoRR, 2022

Robustness and Adaptability of Reinforcement Learning based Cooperative Autonomous Driving in Mixed-autonomy Traffic.
CoRR, 2022

Asymptotic Behavior of Adversarial Training in Binary Linear Classification.
Proceedings of the IEEE International Symposium on Information Theory, 2022

Imitation Learning by Estimating Expertise of Demonstrators.
Proceedings of the International Conference on Machine Learning, 2022

Adaptive Node Participation for Straggler-Resilient Federated Learning.
Proceedings of the IEEE International Conference on Acoustics, 2022

Anonymous Tolling for Traffic Networks with Mixed Autonomy.
Proceedings of the European Control Conference, 2022

Congestion-aware Bi-modal Delivery Systems Utilizing Drones.
Proceedings of the European Control Conference, 2022

A Dynamic Decision-Making Framework Promoting Long-Term Fairness.
Proceedings of the AIES '22: AAAI/ACM Conference on AI, Ethics, and Society, Oxford, United Kingdom, May 19, 2022

2021
Edge Computing in the Dark: Leveraging Contextual-Combinatorial Bandit and Coded Computing.
IEEE/ACM Trans. Netw., 2021

Incentivizing Efficient Equilibria in Traffic Networks With Mixed Autonomy.
IEEE Trans. Control. Netw. Syst., 2021

Routing for Traffic Networks With Mixed Autonomy.
IEEE Trans. Autom. Control., 2021

Sharp Guarantees and Optimal Performance for Inference in Binary and Gaussian-Mixture Models.
Entropy, 2021

Optimal Tolling for Multitype Mixed Autonomous Traffic Networks.
IEEE Control. Syst. Lett., 2021

Towards Learning Generalizable Driving Policies from Restricted Latent Representations.
CoRR, 2021

Altruistic Maneuver Planning for Cooperative Autonomous Vehicles Using Multi-agent Advantage Actor-Critic.
CoRR, 2021

Robust Classification Under 𝓁<sub>0</sub> Attack for the Gaussian Mixture Model.
CoRR, 2021

Cooperative Autonomous Vehicles that Sympathize with Human Drivers.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Emergent Prosociality in Multi-Agent Games Through Gifting.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Incentivizing routing choices for safe and efficient transportation in the face of the COVID-19 pandemic.
Proceedings of the ICCPS '21: ACM/IEEE 12th International Conference on Cyber-Physical Systems, 2021

Adversarially Robust Classification Based on GLRT.
Proceedings of the IEEE International Conference on Acoustics, 2021

Fundamental Limits of Ridge-Regularized Empirical Risk Minimization in High Dimensions.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020
Coded Computing for Distributed Graph Analytics.
IEEE Trans. Inf. Theory, 2020

Mixed Autonomy in Ride-Sharing Networks.
IEEE Trans. Control. Netw. Syst., 2020

Asymptotic Behavior of Adversarial Training in Binary Classification.
CoRR, 2020

Quantized Push-sum for Gossip and Decentralized Optimization over Directed Graphs.
CoRR, 2020

Robust Federated Learning: The Case of Affine Distribution Shifts.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Coded Computing in Unknown Environment via Online Learning.
Proceedings of the IEEE International Symposium on Information Theory, 2020

Optimality of Least-squares for Classification in Gaussian-Mixture Models.
Proceedings of the IEEE International Symposium on Information Theory, 2020

Hierarchical Coded Gradient Aggregation for Learning at the Edge.
Proceedings of the IEEE International Symposium on Information Theory, 2020

Quantized Decentralized Stochastic Learning over Directed Graphs.
Proceedings of the 37th International Conference on Machine Learning, 2020

Polarizing Front Ends for Robust Cnns.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Sharp Asymptotics and Optimal Performance for Inference in Binary Models.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

FedPAQ: A Communication-Efficient Federated Learning Method with Periodic Averaging and Quantization.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019
An Exact Quantized Decentralized Gradient Descent Algorithm.
IEEE Trans. Signal Process., 2019

SAFFRON: A Fast, Efficient, and Robust Framework for Group Testing Based on Sparse-Graph Codes.
IEEE Trans. Signal Process., 2019

Communication-Aware Scheduling of Serial Tasks for Dispersed Computing.
IEEE/ACM Trans. Netw., 2019

Learning Mixtures of Sparse Linear Regressions Using Sparse Graph Codes.
IEEE Trans. Inf. Theory, 2019

Coded Computation Over Heterogeneous Clusters.
IEEE Trans. Inf. Theory, 2019

Sub-Linear Time Support Recovery for Compressed Sensing Using Sparse-Graph Codes.
IEEE Trans. Inf. Theory, 2019

Dynamic Pricing and Management for Electric Autonomous Mobility on Demand Systems Using Reinforcement Learning.
CoRR, 2019

Learning How to Dynamically Route Autonomous Vehicles on Shared Roads.
CoRR, 2019

Mixed Autonomy in Ride-Sharing Network.
CoRR, 2019

Robust and Communication-Efficient Collaborative Learning.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Timely-Throughput Optimal Coded Computing over Cloud Networks.
Proceedings of the Twentieth ACM International Symposium on Mobile Ad Hoc Networking and Computing, 2019

Timely Coded Computing.
Proceedings of the IEEE International Symposium on Information Theory, 2019

Tree Gradient Coding.
Proceedings of the IEEE International Symposium on Information Theory, 2019

Optimal Tolling for Heterogeneous Traffic Networks with Mixed Autonomy.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

The Green Choice: Learning and Influencing Human Decisions on Shared Roads.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

Ride-Sharing Networks with Mixed Autonomy.
Proceedings of the 2019 American Control Conference, 2019

Sharp Guarantees for Solving Random Equations with One-Bit Information.
Proceedings of the 57th Annual Allerton Conference on Communication, 2019

2018
Speeding Up Distributed Machine Learning Using Codes.
IEEE Trans. Inf. Theory, 2018

Toward Robust Neural Networks via Sparsification.
CoRR, 2018

Altruistic Autonomy: Beating Congestion on Shared Roads.
Proceedings of the Algorithmic Foundations of Robotics XIII, 2018

Sub-linear Time Stochastic Threshold Group Testing via Sparse-Graph Codes.
Proceedings of the IEEE Information Theory Workshop, 2018

Signal Control for Urban Traffic Networks with Unknown System Parameters.
Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018

Sparsity-based Defense Against Adversarial Attacks on Linear Classifiers.
Proceedings of the 2018 IEEE International Symposium on Information Theory, 2018

Combating Adversarial Attacks Using Sparse Representations.
Proceedings of the 6th International Conference on Learning Representations, 2018

Quantized Decentralized Consensus Optimization.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

Maximizing Road Capacity Using Cars that Influence People.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

The Price of Anarchy for Transportation Networks with Mixed Autonomy.
Proceedings of the 2018 Annual American Control Conference, 2018

2017
On Scheduling Redundant Requests With Cancellation Overheads.
IEEE/ACM Trans. Netw., 2017

PhaseCode: Fast and Efficient Compressive Phase Retrieval Based on Sparse-Graph Codes.
IEEE Trans. Inf. Theory, 2017

Joint perimeter and signal control of urban traffic via network utility maximization.
Proceedings of the 20th IEEE International Conference on Intelligent Transportation Systems, 2017

Coded computation for multicore setups.
Proceedings of the 2017 IEEE International Symposium on Information Theory, 2017

Asynchronous and noncoherent neighbor discovery for the IoT using sparse-graph codes.
Proceedings of the IEEE International Conference on Communications, 2017

Low-complexity ramp metering for freeway congestion control via network utility maximization.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

Capacity modeling and routing for traffic networks with mixed autonomy.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

Latency analysis of coded computation schemes over wireless networks.
Proceedings of the 55th Annual Allerton Conference on Communication, 2017

Multilevel group testing via sparse-graph codes.
Proceedings of the 51st Asilomar Conference on Signals, Systems, and Computers, 2017

2016
Online Coded Caching.
IEEE/ACM Trans. Netw., 2016

Stability of multiclass queueing networks under longest-queue and longest-dominating-queue scheduling.
J. Appl. Probab., 2016

Robust Scheduling for Flexible Processing Networks.
CoRR, 2016

Queue-length estimation using real-time traffic data.
Proceedings of the 19th IEEE International Conference on Intelligent Transportation Systems, 2016

SAFFRON: A fast, efficient, and robust framework for group testing based on sparse-graph codes.
Proceedings of the IEEE International Symposium on Information Theory, 2016

Compressed sensing using sparse-graph codes for the continuous-alphabet setting.
Proceedings of the 54th Annual Allerton Conference on Communication, 2016

2015
Robust Scheduling for Queueing Networks.
PhD thesis, 2015

On the DMT Optimality of Time-Varying Distributed Rotation Over Slow Fading Relay Channels.
IEEE Trans. Wirel. Commun., 2015

Fast and robust compressive phase retrieval with sparse-graph codes.
Proceedings of the IEEE International Symposium on Information Theory, 2015

Capacity-approaching PhaseCode for low-complexity compressive phase retrieval.
Proceedings of the IEEE International Symposium on Information Theory, 2015

Sparse covariance estimation based on sparse-graph codes.
Proceedings of the 53rd Annual Allerton Conference on Communication, 2015

2014
Robust scheduling and congestion control for flexible queueing networks.
Proceedings of the International Conference on Computing, Networking and Communications, 2014

Robust scheduling in a flexible fork-join network.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

Scheduling tasks with precedence constraints on multiple servers.
Proceedings of the 52nd Annual Allerton Conference on Communication, 2014

PhaseCode: Fast and efficient compressive phase retrieval based on sparse-graph codes.
Proceedings of the 52nd Annual Allerton Conference on Communication, 2014

2012
Stability of Lu-Kumar Networks under Longest-Queue and Longest-Dominating-Queue Scheduling
CoRR, 2012

2011
On the construction of polar codes.
Proceedings of the 2011 IEEE International Symposium on Information Theory Proceedings, 2011

2010
Flip-and-forward achieves the optimal diversity-multiplexing tradeoff for the two-hop MIMO relay channel, with two relay antennas.
Proceedings of the 5th International ICST Conference on Cognitive Radio Oriented Wireless Networks and Communications, 2010

On the DMT optimality of the rotate-and-forward scheme in a two-hop MIMO relay channel.
Proceedings of the 48th Annual Allerton Conference on Communication, 2010


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