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01/10/2023
Sequential Fair Resource Allocation under a Markov Decision Process Framework
We study the sequential decision-making problem of allocating a limited ...
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06/21/2022
Certifiably Robust Policy Learning against Adversarial Communication in Multi-agent Systems
Communication is important in many multi-agent reinforcement learning (M...
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05/31/2022
Generative Models with Information-Theoretic Protection Against Membership Inference Attacks
Deep generative models, such as Generative Adversarial Networks (GANs), ...
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03/14/2022
Optimal Admission Control for Multiclass Queues with Time-Varying Arrival Rates via State Abstraction
We consider a novel queuing problem where the decision-maker must choose...
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10/05/2021
Tradeoffs in Streaming Binary Classification under Limited Inspection Resources
Institutions are increasingly relying on machine learning models to iden...
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06/09/2021
Non-Parametric Stochastic Sequential Assignment With Random Arrival Times
We consider a problem wherein jobs arrive at random times and assume ran...
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04/22/2021
Multi-point Coordination in Massive MIMO Systems with Sectorized Antennas
Non-cooperative cellular massive MIMO, combined with power control, is k...
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06/21/2019
Centralized Caching and Delivery of Correlated Contents over Gaussian Broadcast Channels
Content delivery in a multi-user cache-aided broadcast network is studie...
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05/23/2019
Rate-Distortion-Memory Trade-offs in Heterogeneous Caching Networks
Mobile network operators are considering caching as one of the strategie...
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06/19/2018
Rate-Memory Trade-Off for Caching and Delivery of Correlated Sources
This paper studies the fundamental limits of content delivery in a cache...
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06/12/2018
On Coding for Cache-Aided Delivery of Dynamic Correlated Content
Cache-aided coded multicast leverages side information at wireless edge ...
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04/26/2018
Centralized Caching and Delivery of Correlated Contents over a Gaussian Broadcast Channel
Content delivery in a multi-user cache-aided broadcast network is studie...
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12/05/2017