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09/17/2023
SplitEE: Early Exit in Deep Neural Networks with Split Computing
Deep Neural Networks (DNNs) have drawn attention because of their outsta...
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08/15/2023
Online Universal Dirichlet Factor Portfolios
We revisit the online portfolio allocation problem and propose universal...
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12/26/2022
UB3: Best Beam Identification in Millimeter Wave Systems via Pure Exploration Unimodal Bandits
Millimeter wave (mmWave) communications have a broad spectrum and can su...
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12/12/2022
Learning Optimal Phase-Shifts of Holographic Metasurface Transceivers
Holographic metasurface transceivers (HMT) is an emerging technology for...
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10/03/2022
Almost Exact Risk Budgeting with Return Forecasts for Portfolio Allocation
In this paper, we revisit the portfolio allocation problem with designat...
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09/20/2022
Unsupervised Early Exit in DNNs with Multiple Exits
Deep Neural Networks (DNNs) are generally designed as sequentially casca...
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07/05/2022
Challenges in Adapting ECH in TLS for Privacy Enhancement over the Internet
Security and Privacy are crucial in modern Internet services. Transport ...
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02/16/2022
Exploiting Side Information for Improved Online Learning Algorithms in Wireless Networks
In wireless networks, the rate achieved depends on factors like level of...
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10/20/2021
FairNet: A Measurement Framework for Traffic Discrimination Detection on the Internet
Network neutrality is related to the non-discriminatory treatment of pac...
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07/12/2021
Continuous Time Bandits With Sampling Costs
We consider a continuous-time multi-arm bandit problem (CTMAB), where th...
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06/25/2021
Federated Learning for Intrusion Detection in IoT Security: A Hybrid Ensemble Approach
Critical role of Internet of Things (IoT) in various domains like smart ...
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05/09/2021
Stochastic Multi-Armed Bandits with Control Variates
This paper studies a new variant of the stochastic multi-armed bandits p...
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04/12/2021
Censored Semi-Bandits for Resource Allocation
We consider the problem of sequentially allocating resources in a censor...
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01/12/2021
Masking Host Identity on Internet: Encrypted TLS/SSL Handshake
Network middle-boxes often classify the traffic flows on the Internet to...
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01/12/2021
Challenges in Net Neutrality Violation Detection: A Case Study of Wehe Tool
The debate on "Net-neutrality" and events pointing towards its possible ...
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12/30/2020
Learning to Optimize Energy Efficiency in Energy Harvesting Wireless Sensor Networks
We study wireless power transmission by an energy source to multiple ene...
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10/23/2020
Online Algorithm for Unsupervised Sequential Selection with Contextual Information
In this paper, we study Contextual Unsupervised Sequential Selection (US...
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09/16/2020
Thompson Sampling for Unsupervised Sequential Selection
Thompson Sampling has generated significant interest due to its better e...
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06/17/2020
Stochastic Network Utility Maximization with Unknown Utilities: Multi-Armed Bandits Approach
In this paper, we study a novel Stochastic Network Utility Maximization ...
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03/13/2020
Learning and Fairness in Energy Harvesting: A Maximin Multi-Armed Bandits Approach
Recent advances in wireless radio frequency (RF) energy harvesting allow...
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03/06/2020
Distributed Learning in Ad-Hoc Networks: A Multi-player Multi-armed Bandit Framework
Next-generation networks are expected to be ultra-dense with a very high...
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12/25/2019
Unsupervised Online Feature Selection for Cost-Sensitive Medical Diagnosis
In medical diagnosis, physicians predict the state of a patient by check...
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09/04/2019
Censored Semi-Bandits: A Framework for Resource Allocation with Censored Feedback
In this paper, we study Censored Semi-Bandits, a novel variant of the se...
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08/26/2019
Revenue Sharing in the Internet: A Moral Hazard Approach and a Net-neutrality Perspective
Revenue sharing contracts between Content Providers (CPs) and Internet S...
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01/15/2019
Online Algorithm for Unsupervised Sensor Selection
In many security and healthcare systems, the detection and diagnosis sys...
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01/12/2019
Distributed Learning and Optimal Assignment in Multiplayer Heterogeneous Networks
We consider an ad hoc network where multiple users access the same set o...
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12/24/2018
Distributed Learning and Stable Orthogonalization in Ad-Hoc Networks with Heterogeneous Channels
Next generation networks are expected to be ultra dense and aim to explo...
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09/17/2018
Multi-Player Bandits: A Trekking Approach
We study stochastic multi-armed bandits with many players. The players d...
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01/21/2017