Nikolaos M. Freris

Orcid: 0000-0001-6006-3001

Affiliations:
  • University of Science and Technology of China, Hefei, China
  • University of Illinois at Urbana-Champaign, IL, USA (PhD)


According to our database1, Nikolaos M. Freris authored at least 68 papers between 2007 and 2024.

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

Timeline

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Bibliography

2024
Adaptive Filter Pruning via Sensitivity Feedback.
IEEE Trans. Neural Networks Learn. Syst., August, 2024

Exploiting Frictional Effects to Reproduce Octopus-Like Reaching Movements with a Cable-Driven Spiral Robot.
Proceedings of the 7th IEEE International Conference on Soft Robotics, 2024

Anteumbler: Non-Invasive Antenna Orientation Error Measurement for WiFi APs.
Proceedings of the 32nd IEEE/ACM International Symposium on Quality of Service, 2024

Kinematic Modeling and Control of a Soft Robotic Arm with Non-constant Curvature Deformation.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Synergistic Patch Pruning for Vision Transformer: Unifying Intra- & Inter-Layer Patch Importance.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
Semantically Enhanced Multi-Object Detection and Tracking for Autonomous Vehicles.
IEEE Trans. Robotics, December, 2023

Communication Efficient Curvature Aided Primal-Dual Algorithms for Decentralized Optimization.
IEEE Trans. Autom. Control., November, 2023

Interpretable Embedding and Visualization of Compressed Data.
ACM Trans. Knowl. Discov. Data, February, 2023

TPMDP: Threshold Personalized Multi-party Differential Privacy via Optimal Gaussian Mechanism.
CoRR, 2023

Bioinspired Soft Spiral Robots for Versatile Grasping and Manipulation.
CoRR, 2023

Dynamic modeling and Control of a Soft Robotic Arm Using a Piecewise Universal Joint Model.
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2023

Communication-Efficient Distributed Optimization with Adaptability to System Heterogeneity.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Distributed Optimization on Directed Graphs Based on Inexact ADMM with Partial Participation.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

JP-DouZero: an enhanced DouDiZhu AI based on reinforcement learning with peasant collaboration and intrinsic rewards.
Proceedings of the 9th International Conference on Big Data Computing and Communications, 2023

2022
Multiplayer Stackelberg-Nash Game for Nonlinear System via Value Iteration-Based Integral Reinforcement Learning.
IEEE Trans. Neural Networks Learn. Syst., 2022

Energy-aware online task dispatching and scheduling for edge systems with energy harvesting.
Proceedings of the 13th International Conference on Network of the Future, 2022

CONFLUX: A Request-level Fusion Framework for Impression Allocation via Cascade Distillation.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

ANTIGONE: Accurate Navigation Path Caching in Dynamic Road Networks leveraging Route APIs.
Proceedings of the IEEE INFOCOM 2022, 2022

PF-MOT: Probability Fusion Based 3D Multi-Object Tracking for Autonomous Vehicles.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

FedADMM: A Robust Federated Deep Learning Framework with Adaptivity to System Heterogeneity.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

A Communication Efficient Quasi-Newton Method for Large-Scale Distributed Multi-Agent Optimization.
Proceedings of the IEEE International Conference on Acoustics, 2022

Distributed Primal-dual Optimization for Heterogeneous Multi-agent Systems.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022

2021
CALM: Contactless Accurate Load Monitoring via Modality Distillation.
Proceedings of the 18th Annual IEEE International Conference on Sensing, 2021

LCL: Light Contactless Low-delay Load Monitoring via Compressive Attentional Multi-label Learning.
Proceedings of the 29th IEEE/ACM International Symposium on Quality of Service, 2021

A Novel Sequential Coreset Method for Gradient Descent Algorithms.
Proceedings of the 38th International Conference on Machine Learning, 2021

Efficient Federated-Learning Model Debugging.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

BFGS-ADMM for Large-Scale Distributed Optimization.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

DN-ADMM: Distributed Newton ADMM for Multi-agent Optimization.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

2020
Sparse Travel Time Estimation from Streaming Data.
Transp. Sci., 2020

Capacity Analysis of Ambient Backscatter System with Bernoulli Distributed Excitation.
Proceedings of the Wireless Algorithms, Systems, and Applications, 2020

Online dispatching and scheduling of jobs with heterogeneous utilities in edge computing.
Proceedings of the Mobihoc '20: The Twenty-first ACM International Symposium on Theory, 2020

An Interpretable Data Embedding under Uncertain Distance Information.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020

An Efficient Online Estimation Algorithm for Evolving Quantum States.
Proceedings of the 28th European Signal Processing Conference, 2020

FIDE: Fast and Interpretable 2D Embedding with correlation, distance, and rank considerations.
Proceedings of the 6th International Conference on Big Data Computing and Communications, 2020

D-SOP: Distributed Second Order Proximal Method for Convex Composite Optimization.
Proceedings of the 2020 American Control Conference, 2020

2019
A New Randomized Block-Coordinate Primal-Dual Proximal Algorithm for Distributed Optimization.
IEEE Trans. Autom. Control., 2019

A software-defined architecture for control of IoT cyberphysical systems.
Clust. Comput., 2019

2018
Consensus over evolutionary graphs.
Proceedings of the 16th European Control Conference, 2018

Localization of forced oscillations in the power grid under resonance conditions.
Proceedings of the 52nd Annual Conference on Information Sciences and Systems, 2018

SUCAG: Stochastic Unbiased Curvature-aided Gradient Method for Distributed Optimization.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

2017
Distributed control and optimization with resource-constrained networked systems.
Neurocomputing, 2017

Fully distributed PageRank computation with exponential convergence.
CoRR, 2017

A Software Defined architecture for Cyberphysical Systems.
Proceedings of the 2017 Fourth International Conference on Software Defined Systems, 2017

2016
SDCache: Software Defined Data Caching Control for Cloud Services.
Proceedings of the 4th IEEE International Conference on Future Internet of Things and Cloud, 2016

Accelerated reconstruction of a compressively sampled data stream.
Proceedings of the 24th European Signal Processing Conference, 2016

Distributed computing over encrypted data.
Proceedings of the 54th Annual Allerton Conference on Communication, 2016

Secure clock synchronization under collusion attacks.
Proceedings of the 54th Annual Allerton Conference on Communication, 2016

2015
Compressive mining: fast and optimal data mining in the compressed domain.
VLDB J., 2015

Randomized gossip algorithms for solving Laplacian systems.
Proceedings of the 14th European Control Conference, 2015

2014
Right-Protected Data Publishing with Provable Distance-Based Mining.
IEEE Trans. Knowl. Data Eng., 2014

2013
Distortion-Aware Scalable Video Streaming to Multinetwork Clients.
IEEE/ACM Trans. Netw., 2013

Randomized Extended Kaczmarz for Solving Least Squares.
SIAM J. Matrix Anal. Appl., 2013

Recursive Compressed Sensing.
CoRR, 2013

Model-based clock synchronization protocol for wireless sensor networks.
CoRR, 2013

Finite rate of innovation based modeling and compression of ECG signals.
Proceedings of the IEEE International Conference on Acoustics, 2013

Compressed sensing of streaming data.
Proceedings of the 51st Annual Allerton Conference on Communication, 2013

2012
Cluster-Aware Compression with Provable K-means Preservation.
Proceedings of the Twelfth SIAM International Conference on Data Mining, 2012

Optimal Distance Estimation Between Compressed Data Series.
Proceedings of the Twelfth SIAM International Conference on Data Mining, 2012

Unsupervised Sparse Matrix Co-clustering for Marketing and Sales Intelligence.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2012

Fast distributed smoothing of relative measurements.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012

2011
Fundamental Limits on Synchronizing Clocks Over Networks.
IEEE Trans. Autom. Control., 2011

Performance bounds for CSMA-based medium access control.
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

2010
Wireless Networks: Model and Optimization based approaches to Clock Synchronization, Random Access MAC and Video Streaming
PhD thesis, 2010

Fundamentals of Large Sensor Networks: Connectivity, Capacity, Clocks, and Computation.
Proc. IEEE, 2010

Resource Allocation for Multihomed Scalable Video Streaming to Multiple Clients.
Proceedings of the 12th IEEE International Symposium on Multimedia, 2010

2009
A model-based approach to clock synchronization.
Proceedings of the 48th IEEE Conference on Decision and Control, 2009

2008
Controlled random access MAC for network utility maximization in wireless networks.
Proceedings of the 47th IEEE Conference on Decision and Control, 2008

2007
Fundamental limits on synchronization of affine clocks in networks.
Proceedings of the 46th IEEE Conference on Decision and Control, 2007


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