Stratis Ioannidis

Orcid: 0000-0001-8355-4751

According to our database1, Stratis Ioannidis authored at least 141 papers between 2005 and 2024.

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Bibliography

2024
Distributed Experimental Design Networks.
CoRR, 2024

T-PRIME: Transformer-based Protocol Identification for Machine-learning at the Edge.
CoRR, 2024

Online Submodular Maximization via Online Convex Optimization.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
AirNN: Over-the-Air Computation for Neural Networks via Reconfigurable Intelligent Surfaces.
IEEE/ACM Trans. Netw., December, 2023

No-regret Caching via Online Mirror Descent.
ACM Trans. Model. Perform. Evaluation Comput. Syst., December, 2023

Experimental Design Networks: A Paradigm for Serving Heterogeneous Learners Under Networking Constraints.
IEEE/ACM Trans. Netw., October, 2023

Graph transfer learning.
Knowl. Inf. Syst., April, 2023

Multi-Modality Sensing and Data Fusion for Multi-Vehicle Detection.
IEEE Trans. Multim., 2023

Multiverse at the Edge: Interacting Real World and Digital Twins for Wireless Beamforming.
CoRR, 2023

DualHSIC: HSIC-Bottleneck and Alignment for Continual Learning.
CoRR, 2023

Gateway Entities in Problematic Trajectories.
Proceedings of the ACM Web Conference 2023, 2023

Joint Optimization of Storage and Transmission via Coding Traffic Flows for Content Distribution.
Proceedings of the 21st International Symposium on Modeling and Optimization in Mobile, 2023

AlignGraph: A Group of Generative Models for Graphs.
Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

Stochastic Submodular Maximization via Polynomial Estimators.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023

SmoothHess: ReLU Network Feature Interactions via Stein's Lemma.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Cache-Enabled Federated Learning Systems.
Proceedings of the Twenty-fourth International Symposium on Theory, 2023

Poster Abstract: Fair Training of Multiple Federated Learning Models on Resource Constrained Network Devices.
Proceedings of the 22nd International Conference on Information Processing in Sensor Networks, 2023

Communication-Aware DNN Pruning.
Proceedings of the IEEE INFOCOM 2023, 2023

DualHSIC: HSIC-Bottleneck and Alignment for Continual Learning.
Proceedings of the International Conference on Machine Learning, 2023

Jointly Optimal Routing and Caching with Bounded Link Capacities.
Proceedings of the IEEE International Conference on Communications, 2023

Accelerating Garbled Circuits in the Open Cloud Testbed with Multiple Network-Attached FPGAs.
Proceedings of the IEEE High Performance Extreme Computing Conference, 2023

Towards Bias Correction of FedAvg over Nonuniform and Time-Varying Communications.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022
Deep Learning on Multimodal Sensor Data at the Wireless Edge for Vehicular Network.
IEEE Trans. Veh. Technol., 2022

Radio Frequency Fingerprinting on the Edge.
IEEE Trans. Mob. Comput., 2022

Spectral Ranking Regression.
ACM Trans. Knowl. Discov. Data, 2022

Sample complexity of rank regression using pairwise comparisons.
Pattern Recognit., 2022

Generalized Wireless Adversarial Deep Learning.
Comput. Networks, 2022

SparCL: Sparse Continual Learning on the Edge.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Explanations of Black-Box Models based on Directional Feature Interactions.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Pruning Adversarially Robust Neural Networks without Adversarial Examples.
Proceedings of the IEEE International Conference on Data Mining, 2022

Optimizing Designs Using Several Types of Memories on Modern FPGAs.
Proceedings of the IEEE High Performance Extreme Computing Conference, 2022


Differentially Private Regression with Unbounded Covariates.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021
DeepFIR: Channel-Robust Physical-Layer Deep Learning Through Adaptive Waveform Filtering.
IEEE Trans. Wirel. Commun., 2021

Cache Networks of Counting Queues.
IEEE/ACM Trans. Netw., 2021

Online Caching Networks with Adversarial Guarantees.
Proc. ACM Meas. Anal. Comput. Syst., 2021

JSAIT Editorial for the Special Issue on "Beyond Errors and Erasures: Coding for Data Management and Delivery in Networks".
IEEE J. Sel. Areas Inf. Theory, 2021

On the Sample Complexity of Rank Regression from Pairwise Comparisons.
CoRR, 2021

Submodular Maximization via Taylor Series Approximation.
Proceedings of the 2021 SIAM International Conference on Data Mining, 2021

Robust Regression via Model Based Methods.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

Structurally Guided Channel Attention Networks: SGCA-Net.
Proceedings of the PETRA '21: The 14th PErvasive Technologies Related to Assistive Environments Conference, Virtual Event, Greece, 29 June, 2021

Automated ROP Diagnostic System based on Comparisons and U-Net Segmentation.
Proceedings of the PETRA '21: The 14th PErvasive Technologies Related to Assistive Environments Conference, Virtual Event, Greece, 29 June, 2021

Revisiting Hilbert-Schmidt Information Bottleneck for Adversarial Robustness.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Deep Learning on Visual and Location Data for V2I mmWave Beamforming.
Proceedings of the 17th International Conference on Mobility, Sensing and Networking, 2021

Structural Visual Guidance Attention Networks In Retinopathy Of Prematurity.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

Rate Allocation and Content Placement in Cache Networks.
Proceedings of the 40th IEEE Conference on Computer Communications, 2021

Deep Spectral Ranking.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020
RF Fingerprinting Unmanned Aerial Vehicles With Non-Standard Transmitter Waveforms.
IEEE Trans. Veh. Technol., 2020

Massively Distributed Graph Distances.
IEEE Trans. Signal Inf. Process. over Networks, 2020

Kelly Cache Networks.
IEEE/ACM Trans. Netw., 2020

Linear Regression from Strategic Data Sources.
ACM Trans. Economics and Comput., 2020

No Radio Left Behind: Radio Fingerprinting Through Deep Learning of Physical-Layer Hardware Impairments.
IEEE Trans. Cogn. Commun. Netw., 2020

Fair Caching Networks.
SIGMETRICS Perform. Evaluation Rev., 2020

Siamese neural networks for continuous disease severity evaluation and change detection in medical imaging.
npj Digit. Medicine, 2020

Deep Learning for RF Fingerprinting: A Massive Experimental Study.
IEEE Internet Things Mag., 2020

Bandits Under The Influence (Extended Version).
CoRR, 2020

DeepFIR: Addressing the Wireless Channel Action in Physical-Layer Deep Learning.
CoRR, 2020

Hacking the Waveform: Generalized Wireless Adversarial Deep Learning.
CoRR, 2020

More Is Better: Data Augmentation for Channel-Resilient RF Fingerprinting.
IEEE Commun. Mag., 2020

Deep Kernel Learning for Clustering.
Proceedings of the 2020 SIAM International Conference on Data Mining, 2020

Biosensor prediction of aggression in youth with autism using kernel-based methods.
Proceedings of the PETRA '20: The 13th PErvasive Technologies Related to Assistive Environments Conference, Corfu, Greece, June 30, 2020

Machine Learning on Camera Images for Fast mmWave Beamforming.
Proceedings of the 17th IEEE International Conference on Mobile Ad Hoc and Sensor Systems, 2020

Universally Stable Cache Networks.
Proceedings of the 39th IEEE Conference on Computer Communications, 2020

Exposing the Fingerprint: Dissecting the Impact of the Wireless Channel on Radio Fingerprinting.
Proceedings of the 39th IEEE Conference on Computer Communications, 2020

Bandits Under the Influence.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Open-World Class Discovery with Kernel Networks.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Learn-Prune-Share for Lifelong Learning.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Optimizing Use of Different Types of Memory for FPGAs in High Performance Computing.
Proceedings of the 2020 IEEE High Performance Extreme Computing Conference, 2020

Fast and Accurate Ranking Regression.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019
Classification and comparison via neural networks.
Neural Networks, 2019

Distributing Frank-Wolfe via map-reduce.
Knowl. Inf. Syst., 2019

SIFO: Secure Computational Infrastructure Using FPGA Overlays.
Int. J. Reconfigurable Comput., 2019

Deep Kernel Learning for Clustering.
CoRR, 2019

A family of tractable graph metrics.
Appl. Netw. Sci., 2019

Accelerated Experimental Design for Pairwise Comparisons.
Proceedings of the 2019 SIAM International Conference on Data Mining, 2019

Accelerating Large Garbled Circuits on an FPGA-enabled Cloud.
Proceedings of the 2019 IEEE/ACM International Workshop on Heterogeneous High-performance Reconfigurable Computing, 2019

DeepRadioID: Real-Time Channel-Resilient Optimization of Deep Learning-based Radio Fingerprinting Algorithms.
Proceedings of the Twentieth ACM International Symposium on Mobile Ad Hoc Networking and Computing, 2019

Impairment Shift Keying: Covert Signaling by Deep Learning of Controlled Radio Imperfections.
Proceedings of the 2019 IEEE Military Communications Conference, 2019

Improved interpretability for computer-aided severity assessment of retinopathy of prematurity.
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 2019

A Severity Score for Retinopathy of Prematurity.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

ORACLE: Optimized Radio clAssification through Convolutional neuraL nEtworks.
Proceedings of the 2019 IEEE Conference on Computer Communications, 2019

Optimal Cache Allocation under Network-Wide Capacity Constraint.
Proceedings of the International Conference on Computing, Networking and Communications, 2019

Garbled Circuits in the Cloud using FPGA Enabled Nodes.
Proceedings of the 2019 IEEE High Performance Extreme Computing Conference, 2019

MAC ID Spoofing-Resistant Radio Fingerprinting.
Proceedings of the 2019 IEEE Global Conference on Signal and Information Processing, 2019

Spectrum Awareness at the Edge: Modulation Classification using Smartphones.
Proceedings of the 2019 IEEE International Symposium on Dynamic Spectrum Access Networks, 2019

Finding a 'New' Needle in the Haystack: Unseen Radio Detection in Large Populations Using Deep Learning.
Proceedings of the 2019 IEEE International Symposium on Dynamic Spectrum Access Networks, 2019

Variational Inference from Ranked Samples with Features.
Proceedings of The 11th Asian Conference on Machine Learning, 2019

2018
Adaptive Caching Networks With Optimality Guarantees.
IEEE/ACM Trans. Netw., 2018

Jointly Optimal Routing and Caching for Arbitrary Network Topologies.
IEEE J. Sel. Areas Commun., 2018

Deep feature transfer between localization and segmentation tasks.
CoRR, 2018

Deep Learning Convolutional Neural Networks for Radio Identification.
IEEE Commun. Mag., 2018

A Family of Tractable Graph Distances.
Proceedings of the 2018 SIAM International Conference on Data Mining, 2018

Predicting Imminent Aggression Onset in Minimally-Verbal Youth with Autism Spectrum Disorder Using Preceding Physiological Signals.
Proceedings of the 12th EAI International Conference on Pervasive Computing Technologies for Healthcare, 2018

Experimental Design under the Bradley-Terry Model.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Time-Series Prediction of Proximal Aggression Onset in Minimally-Verbal Youth with Autism Spectrum Disorder Using Physiological Biosignals.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

Iterative Spectral Method for Alternative Clustering.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

Intermediate Data Caching Optimization for Multi-Stage and Parallel Big Data Frameworks.
Proceedings of the 11th IEEE International Conference on Cloud Computing, 2018

2017
Learning Combinations of Sigmoids Through Gradient Estimation.
CoRR, 2017

PNP: Fast Path Ensemble Method for Movie Design.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Secure Function Evaluation Using an FPGA Overlay Architecture.
Proceedings of the 2017 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, 2017

2015
From Small-World Networks to Comparison-Based Search.
IEEE Trans. Inf. Theory, 2015

Stable and scalable universal swarms.
Distributed Comput., 2015

GraphSC: Parallel Secure Computation Made Easy.
Proceedings of the 2015 IEEE Symposium on Security and Privacy, 2015

Truthful Linear Regression.
Proceedings of The 28th Conference on Learning Theory, 2015

2014
Privacy Auctions for Recommender Systems.
ACM Trans. Economics and Comput., 2014

Privacy tradeoffs in predictive analytics.
Proceedings of the ACM SIGMETRICS / International Conference on Measurement and Modeling of Computer Systems, 2014

Recommending with an agenda: active learning of private attributes using matrix factorization.
Proceedings of the Eighth ACM Conference on Recommender Systems, 2014

Budget Feasible Mechanisms for Experimental Design.
Proceedings of the LATIN 2014: Theoretical Informatics - 11th Latin American Symposium, Montevideo, Uruguay, March 31, 2014

Optimal recommendations under attraction, aversion, and social influence.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Learning Mixtures of Linear Classifiers.
Proceedings of the 31th International Conference on Machine Learning, 2014

2013
A Consensus-Focused Group Recommender System.
CoRR, 2013

Linear Regression as a Non-cooperative Game.
Proceedings of the Web and Internet Economics - 9th International Conference, 2013

Privacy-Preserving Ridge Regression on Hundreds of Millions of Records.
Proceedings of the 2013 IEEE Symposium on Security and Privacy, 2013

A Time and Space Efficient Algorithm for Contextual Linear Bandits.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

Privacy-preserving matrix factorization.
Proceedings of the 2013 ACM SIGSAC Conference on Computer and Communications Security, 2013

2012
Distributed caching over heterogeneous mobile networks.
Queueing Syst. Theory Appl., 2012

Identifying Users From Their Rating Patterns
CoRR, 2012

Group recommendations via multi-armed bandits.
Proceedings of the 21st World Wide Web Conference, 2012

Guess Who Rated This Movie: Identifying Users Through Subspace Clustering.
Proceedings of the Twenty-Eighth Conference on Uncertainty in Artificial Intelligence, 2012

BlurMe: inferring and obfuscating user gender based on ratings.
Proceedings of the Sixth ACM Conference on Recommender Systems, 2012

Hot or not: Interactive content search using comparisons.
Proceedings of the 2012 Information Theory and Applications Workshop, 2012

Comparison-Based Learning with Rank Nets.
Proceedings of the 29th International Conference on Machine Learning, 2012

Orchestrating massively distributed CDNs.
Proceedings of the Conference on emerging Networking Experiments and Technologies, 2012

2011
Privacy Auctions for Inner Product Disclosures
CoRR, 2011

Adaptive Content Search Through Comparisons
CoRR, 2011

On the stability and optimality of universal swarms.
Proceedings of the SIGMETRICS 2011, 2011

Distributed rating prediction in user generated content streams.
Proceedings of the 2011 ACM Conference on Recommender Systems, 2011

Dissemination in opportunistic mobile ad-hoc networks: The power of the crowd.
Proceedings of the INFOCOM 2011. 30th IEEE International Conference on Computer Communications, 2011

Content Search through Comparisons.
Proceedings of the Automata, Languages and Programming - 38th International Colloquium, 2011

Distributed collaborative filtering over social networks.
Proceedings of the 49th Annual Allerton Conference on Communication, 2011

2010
Scalable and Reliable Searching in Unstructured Peer-to-peer Systems.
PhD thesis, 2010

Incentivizing peer-assisted services: a fluid shapley value approach.
Proceedings of the SIGMETRICS 2010, 2010

Surfing the Blogosphere: Optimal Personalized Strategies for Searching the Web.
Proceedings of the INFOCOM 2010. 29th IEEE International Conference on Computer Communications, 2010

2009
Distributing content updates over a mobile social network.
ACM SIGMOBILE Mob. Comput. Commun. Rev., 2009

On the strength of weak ties in mobile social networks.
Proceedings of the Second ACM EuroSys Workshop on Social Network Systems, 2009

Absence of Evidence as Evidence of Absence: A Simple Mechanism for Scalable P2P Search.
Proceedings of the INFOCOM 2009. 28th IEEE International Conference on Computer Communications, 2009

Optimal and Scalable Distribution of Content Updates over a Mobile Social Network.
Proceedings of the INFOCOM 2009. 28th IEEE International Conference on Computer Communications, 2009

2008
On the design of hybrid peer-to-peer systems.
Proceedings of the 2008 ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Systems, 2008

2006
A Brownian Motion Model for Last Encounter Routing.
Proceedings of the INFOCOM 2006. 25th IEEE International Conference on Computer Communications, 2006

2005
Towards an Understanding of EASE and Its Properties.
Proceedings of the 3rd International Symposium on Modeling and Optimization in Mobile, 2005

Routing and Wavelength Assignment in Generalized WDM Tree Networks of Bounded Degree.
Proceedings of the Advances in Informatics, 2005


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