Fundamental limits on synchronization of affine clocks in networks. - Nikolaos M. Freris; Panganamala Ramana Kumar (CDC, 2007)

Controlled random access MAC for network utility maximization in wireless networks. - Robert J. McCabe; Nikolaos M. Freris; P. R. Kumar 001 (CDC, 2008)

A model-based approach to clock synchronization. - Nikolaos M. Freris; Vivek S. Borkar; P. R. Kumar 001 (CDC, 2009)

Resource Allocation for Multihomed Scalable Video Streaming to Multiple Clients. - Nikolaos M. Freris; Cheng-Hsin Hsu; Xiaoqing Zhu; Jatinder Pal Singh (ISM, 2010)

Fundamentals of Large Sensor Networks: Connectivity, Capacity, Clocks, and Computation. - Nikolaos M. Freris; Hemant Kowshik; P. R. Kumar 001 (Proc. IEEE, 2010)

Wireless Networks: Model and Optimization based approaches to Clock Synchronization, Random Access MAC and Video Streaming - Nikolaos M. Freris (2010)

Performance bounds for CSMA-based medium access control. - Nikolaos M. Freris (CDC/ECC, 2011)

Fundamental Limits on Synchronizing Clocks Over Networks. - Nikolaos M. Freris; Scott R. Graham; P. R. Kumar 001 (IEEE Trans. Autom. Control., 2011)

Fast distributed smoothing of relative measurements. - Nikolaos M. Freris; Anastasios Zouzias (CDC, 2012)

Unsupervised Sparse Matrix Co-clustering for Marketing and Sales Intelligence. - Anastasios Zouzias; Michail Vlachos; Nikolaos M. Freris (PAKDD (1), 2012)

Optimal Distance Estimation Between Compressed Data Series. - Nikolaos M. Freris; Michail Vlachos; Suleyman Serdar Kozat (SDM, 2012)

Cluster-Aware Compression with Provable K-means Preservation. - Nikolaos M. Freris; Michail Vlachos; Deepak S. Turaga (SDM, 2012)

Compressed sensing of streaming data. - Nikolaos M. Freris; Orhan Öçal; Martin Vetterli (Allerton, 2013)

Finite rate of innovation based modeling and compression of ECG signals. - Gilles Baechler; Nikolaos M. Freris; R. Frank Quick; Ronald E. Crochiere (ICASSP, 2013)

Model-based clock synchronization protocol for wireless sensor networks. - Nikolaos M. Freris; Vivek S. Borkar; P. R. Kumar 001 (CoRR, 2013)

Recursive Compressed Sensing. - Nikolaos M. Freris; Orhan Öçal; Martin Vetterli (CoRR, 2013)

Randomized Extended Kaczmarz for Solving Least Squares. - Anastasios Zouzias; Nikolaos M. Freris (SIAM J. Matrix Anal. Appl., 2013)

Distortion-Aware Scalable Video Streaming to Multinetwork Clients. - Nikolaos M. Freris; Cheng-Hsin Hsu; Jatinder Pal Singh; Xiaoqing Zhu (IEEE/ACM Trans. Netw., 2013)

Right-Protected Data Publishing with Provable Distance-Based Mining. - Spyros I. Zoumpoulis; Michail Vlachos; Nikolaos M. Freris; Claudio Lucchese (IEEE Trans. Knowl. Data Eng., 2014)

Randomized gossip algorithms for solving Laplacian systems. - Anastasios Zouzias; Nikolaos M. Freris (ECC, 2015)

Compressive mining: fast and optimal data mining in the compressed domain. - Michail Vlachos; Nikolaos M. Freris; Anastasios Kyrillidis (VLDB J., 2015)

Secure clock synchronization under collusion attacks. - Xiaoming Duan; Nikolaos M. Freris; Peng Cheng 001 (Allerton, 2016)

Distributed computing over encrypted data. - Nikolaos M. Freris; Panagiotis Patrinos (Allerton, 2016)

Accelerated reconstruction of a compressively sampled data stream. - Pantelis Sopasakis; Nikolaos M. Freris; Panagiotis Patrinos (EUSIPCO, 2016)

SDCache: Software Defined Data Caching Control for Cloud Services. - Ala Darabseh; Nikolaos M. Freris; Yaser Jararweh; Mahmoud Al-Ayyoub (FiCloud, 2016)

A Software Defined architecture for Cyberphysical Systems. - Ala Darabseh; Nikolaos M. Freris (SDS, 2017)

Fully distributed PageRank computation with exponential convergence. - Liang Dai; Nikolaos M. Freris (CoRR, 2017)

Distributed control and optimization with resource-constrained networked systems. - Jianping He 001; Peng Cheng 001; Junfeng Wu 001; Nikolaos M. Freris; Peng Zeng 001 (Neurocomputing, 2017)

SUCAG: Stochastic Unbiased Curvature-aided Gradient Method for Distributed Optimization. - Hoi-To Wai; Nikolaos M. Freris; Angelia Nedic; Anna Scaglione (CDC, 2018)

Localization of forced oscillations in the power grid under resonance conditions. - Tong Huang; Nikolaos M. Freris; P. R. Kumar 001; Le Xie 001 (CISS, 2018)

Consensus over evolutionary graphs. - Michalis Smyrnakis; Nikolaos M. Freris; Hamidou Tembine (ECC, 2018)

A software-defined architecture for control of IoT cyberphysical systems. - Ala Darabseh; Nikolaos M. Freris (Clust. Comput., 2019)

A New Randomized Block-Coordinate Primal-Dual Proximal Algorithm for Distributed Optimization. - Puya Latafat; Nikolaos M. Freris; Panagiotis Patrinos (IEEE Trans. Autom. Control., 2019)

D-SOP: Distributed Second Order Proximal Method for Convex Composite Optimization. - Yichuan Li 004; Nikolaos M. Freris; Petros G. Voulgaris; Dusan M. Stipanovic (ACC, 2020)

FIDE: Fast and Interpretable 2D Embedding with correlation, distance, and rank considerations. - Nikolaos M. Freris; Chuhan Yang; Michalis Vlachos (BigCom, 2020)

An Efficient Online Estimation Algorithm for Evolving Quantum States. - Kun Zhang 028; Shuang Cong; Yaru Tang; Nikolaos M. Freris (EUSIPCO, 2020)

An Interpretable Data Embedding under Uncertain Distance Information. - Nikolaos M. Freris; Michalis Vlachos; Ahmad Ajalloeian (ICDM, 2020)

Online dispatching and scheduling of jobs with heterogeneous utilities in edge computing. - Chi Zhang 043; Haisheng Tan; Haoqiang Huang; Zhenhua Han; Shaofeng H.-C. Jiang; Nikolaos M. Freris; Xiang-Yang Li 001 (MobiHoc, 2020)

Capacity Analysis of Ambient Backscatter System with Bernoulli Distributed Excitation. - Pengfei Li; Xin He; Nikolaos M. Freris; Panlong Yang (WASA (1), 2020)

Sparse Travel Time Estimation from Streaming Data. - Saif Eddin Jabari; Nikolaos M. Freris; Deepthi Mary Dilip (Transp. Sci., 2020)

DN-ADMM: Distributed Newton ADMM for Multi-agent Optimization. - Yichuan Li 004; Nikolaos M. Freris; Petros G. Voulgaris; Dusan M. Stipanovic (CDC, 2021)

BFGS-ADMM for Large-Scale Distributed Optimization. - Yichuan Li 004; Yonghai Gong; Nikolaos M. Freris; Petros G. Voulgaris; Dusan M. Stipanovic (CDC, 2021)

Efficient Federated-Learning Model Debugging. - Anran Li 001; Lan Zhang 002; Junhao Wang; Juntao Tan; Feng Han; Yaxuan Qin; Nikolaos M. Freris; Xiang-Yang Li 001 (ICDE, 2021)

A Novel Sequential Coreset Method for Gradient Descent Algorithms. - Jiawei Huang 009; Ruomin Huang; Wenjie Liu 008; Nikolaos M. Freris; Hu Ding (ICML, 2021)

LCL: Light Contactless Low-delay Load Monitoring via Compressive Attentional Multi-label Learning. - XiaoYu Wang 014; Hao Zhou 001; Nikolaos M. Freris; Wangqiu Zhou; Xing Guo; Zhi Liu 002; Yusheng Ji; Xiang-Yang Li 001 (IWQoS, 2021)

CALM: Contactless Accurate Load Monitoring via Modality Distillation. - XiaoYu Wang 014; Hao Zhou 001; Nikolaos M. Freris; Wangqiu Zhou; Xing Guo; Xiang-Yang Li 001 (SECON, 2021)

Distributed Primal-dual Optimization for Heterogeneous Multi-agent Systems. - Yichuan Li 004; Petros G. Voulgaris; Nikolaos M. Freris (CDC, 2022)

A Communication Efficient Quasi-Newton Method for Large-Scale Distributed Multi-Agent Optimization. - Yichuan Li 004; Petros G. Voulgaris; Nikolaos M. Freris (ICASSP, 2022)

FedADMM: A Robust Federated Deep Learning Framework with Adaptivity to System Heterogeneity. - Yonghai Gong; Yichuan Li 004; Nikolaos M. Freris (ICDE, 2022)

PF-MOT: Probability Fusion Based 3D Multi-Object Tracking for Autonomous Vehicles. - Tao Wen; Yanyong Zhang; Nikolaos M. Freris (ICRA, 2022)

ANTIGONE: Accurate Navigation Path Caching in Dynamic Road Networks leveraging Route APIs. - Xiaojing Yu; Xiang-Yang Li 001; Jing Zhao; Guobin Shen; Nikolaos M. Freris; Lan Zhang 002 (INFOCOM, 2022)

CONFLUX: A Request-level Fusion Framework for Impression Allocation via Cascade Distillation. - XiaoYu Wang 014; Bin Tan; Yonghui Guo; Tao Yang; Dongbo Huang; Lan Xu; Nikolaos M. Freris; Hao Zhou 001; Xiangyang Li 001 (KDD, 2022)

Energy-aware online task dispatching and scheduling for edge systems with energy harvesting. - Mu Yuan; Nikolaos M. Freris (NoF, 2022)

Multiplayer Stackelberg-Nash Game for Nonlinear System via Value Iteration-Based Integral Reinforcement Learning. - Man Li 002; Jiahu Qin; Nikolaos M. Freris; Daniel W. C. Ho (IEEE Trans. Neural Networks Learn. Syst., 2022)

JP-DouZero: an enhanced DouDiZhu AI based on reinforcement learning with peasant collaboration and intrinsic rewards. - Mu Yuan; Nikolaos M. Freris (BIGCOM, 2023)

Distributed Optimization on Directed Graphs Based on Inexact ADMM with Partial Participation. - Dingran Yi; Nikolaos M. Freris (CDC, 2023)

Communication-Efficient Distributed Optimization with Adaptability to System Heterogeneity. - Ziyi Yu; Nikolaos M. Freris (CDC, 2023)

Dynamic modeling and Control of a Soft Robotic Arm Using a Piecewise Universal Joint Model. - Zhanchi Wang; Gaotian Wang; Xiaoping Chen; Nikolaos M. Freris (ROBIO, 2023)

Bioinspired Soft Spiral Robots for Versatile Grasping and Manipulation. - Zhanchi Wang; Nikolaos M. Freris (CoRR, 2023)

TPMDP: Threshold Personalized Multi-party Differential Privacy via Optimal Gaussian Mechanism. - Jiandong Liu; Lan Zhang 002; Chaojie Lv; Ting Yu 001; Nikolaos M. Freris; Xiangyang Li 001 (CoRR, 2023)

Interpretable Embedding and Visualization of Compressed Data. - Nikolaos M. Freris; Ahmad Ajalloeian; Michalis Vlachos (ACM Trans. Knowl. Discov. Data, 2023)

Communication Efficient Curvature Aided Primal-Dual Algorithms for Decentralized Optimization. - Yichuan Li 004; Petros G. Voulgaris; Dusan M. Stipanovic; Nikolaos M. Freris (IEEE Trans. Autom. Control., 2023)

Semantically Enhanced Multi-Object Detection and Tracking for Autonomous Vehicles. - Tao Wen; Nikolaos M. Freris (IEEE Trans. Robotics, 2023)

Synergistic Patch Pruning for Vision Transformer: Unifying Intra- & Inter-Layer Patch Importance. - Yuyao Zhang; Lan Wei; Nikolaos M. Freris (ICLR, 2024)

Kinematic Modeling and Control of a Soft Robotic Arm with Non-constant Curvature Deformation. - Zhanchi Wang; Gaotian Wang; Xiaoping Chen; Nikolaos M. Freris (ICRA, 2024)

Anteumbler: Non-Invasive Antenna Orientation Error Measurement for WiFi APs. - Dawei Yan; Panlong Yang; Fei Shang; Nikolaos M. Freris; Yubo Yan (IWQoS, 2024)

Exploiting Frictional Effects to Reproduce Octopus-Like Reaching Movements with a Cable-Driven Spiral Robot. - Zhanchi Wang; Nikolaos M. Freris (RoboSoft, 2024)

Adaptive Filter Pruning via Sensitivity Feedback. - Yuyao Zhang; Nikolaos M. Freris (IEEE Trans. Neural Networks Learn. Syst., 2024)

Multi-scale graph neural network for physics-informed fluid simulation. - Lan Wei; Nikolaos M. Freris (Vis. Comput., 2025)

Non-Intrusive and Efficient Estimation of Antenna 3-D Orientation for WiFi APs. - Dawei Yan; Panlong Yang; Fei Shang; Nikolaos M. Freris; Yubo Yan (IEEE Trans. Mob. Comput., 2025)

Reinforcement-Learning-Based Layer-Wise Aggregation for Personalized Federated Learning. - Ziwen Huang; Nikolaos M. Freris (IEEE Internet Things J., 2025)