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Nikolaos M. Freris
Person information
- affiliation: University of Science and Technology of China, Hefei, China
- affiliation (PhD): University of Illinois at Urbana-Champaign, IL, USA
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2020 – today
- 2024
- [j15]Yuyao Zhang
, Nikolaos M. Freris
Adaptive Filter Pruning via Sensitivity Feedback. IEEE Trans. Neural Networks Learn. Syst. 35(8): 10996-11008 (2024) - [c47]Yuyao Zhang, Lan Wei, Nikolaos M. Freris:
Synergistic Patch Pruning for Vision Transformer: Unifying Intra- & Inter-Layer Patch Importance. ICLR 2024 - [c46]Zhanchi Wang, Gaotian Wang, Xiaoping Chen, Nikolaos M. Freris:
Kinematic Modeling and Control of a Soft Robotic Arm with Non-constant Curvature Deformation. ICRA 2024: 12749-12755 - [c45]Dawei Yan, Panlong Yang, Fei Shang, Nikolaos M. Freris, Yubo Yan:
Anteumbler: Non-Invasive Antenna Orientation Error Measurement for WiFi APs. IWQoS 2024: 1-10 - [c44]Zhanchi Wang, Nikolaos M. Freris:
Exploiting Frictional Effects to Reproduce Octopus-Like Reaching Movements with a Cable-Driven Spiral Robot. RoboSoft 2024: 537-542 - [i13]Dawei Yan, Panlong Yang, Fei Shang, Nikolaos M. Freris, Yubo Yan:
Anteumbler: Non-Invasive Antenna Orientation Error Measurement for WiFi APs. CoRR abs/2408.11660 (2024) - 2023
- [j14]Yichuan Li
Communication Efficient Curvature Aided Primal-Dual Algorithms for Decentralized Optimization. IEEE Trans. Autom. Control. 68(11): 6573-6588 (2023) - [j13]Nikolaos M. Freris
Interpretable Embedding and Visualization of Compressed Data. ACM Trans. Knowl. Discov. Data 17(2): 22:1-22:22 (2023) - [j12]Tao Wen
Semantically Enhanced Multi-Object Detection and Tracking for Autonomous Vehicles. IEEE Trans. Robotics 39(6): 4600-4615 (2023) - [c43]Mu Yuan, Nikolaos M. Freris:
JP-DouZero: an enhanced DouDiZhu AI based on reinforcement learning with peasant collaboration and intrinsic rewards. BIGCOM 2023: 256-263 - [c42]Dingran Yi, Nikolaos M. Freris:
Distributed Optimization on Directed Graphs Based on Inexact ADMM with Partial Participation. CDC 2023: 1138-1143 - [c41]Ziyi Yu
Communication-Efficient Distributed Optimization with Adaptability to System Heterogeneity. CDC 2023: 3321-3326 - [c40]Zhanchi Wang, Gaotian Wang, Xiaoping Chen, Nikolaos M. Freris:
Dynamic modeling and Control of a Soft Robotic Arm Using a Piecewise Universal Joint Model. ROBIO 2023: 1-6 - [i12]Zhanchi Wang, Nikolaos M. Freris:
Bioinspired Soft Spiral Robots for Versatile Grasping and Manipulation. CoRR abs/2303.09861 (2023) - [i11]Jiandong Liu, Lan Zhang, Chaojie Lv, Ting Yu, Nikolaos M. Freris, Xiangyang Li:
TPMDP: Threshold Personalized Multi-party Differential Privacy via Optimal Gaussian Mechanism. CoRR abs/2305.11192 (2023) - 2022
- [j11]Man Li
Multiplayer Stackelberg-Nash Game for Nonlinear System via Value Iteration-Based Integral Reinforcement Learning. IEEE Trans. Neural Networks Learn. Syst. 33(4): 1429-1440 (2022) - [c39]Yichuan Li
Distributed Primal-dual Optimization for Heterogeneous Multi-agent Systems. CDC 2022: 5870-5875 - [c38]Yichuan Li
A Communication Efficient Quasi-Newton Method for Large-Scale Distributed Multi-Agent Optimization. ICASSP 2022: 4268-4272 - [c37]Yonghai Gong, Yichuan Li
FedADMM: A Robust Federated Deep Learning Framework with Adaptivity to System Heterogeneity. ICDE 2022: 2575-2587 - [c36]Tao Wen, Yanyong Zhang, Nikolaos M. Freris:
PF-MOT: Probability Fusion Based 3D Multi-Object Tracking for Autonomous Vehicles. ICRA 2022: 700-706 - [c35]Xiaojing Yu, Xiang-Yang Li, Jing Zhao, Guobin Shen, Nikolaos M. Freris, Lan Zhang:
ANTIGONE: Accurate Navigation Path Caching in Dynamic Road Networks leveraging Route APIs. INFOCOM 2022: 1599-1608 - [c34]Xiao-Yu Wang
CONFLUX: A Request-level Fusion Framework for Impression Allocation via Cascade Distillation. KDD 2022: 4070-4078 - [c33]Mu Yuan, Nikolaos M. Freris:
Energy-aware online task dispatching and scheduling for edge systems with energy harvesting. NoF 2022: 1-9 - [i10]Yonghai Gong, Yichuan Li, Nikolaos M. Freris:
FedADMM: A Robust Federated Deep Learning Framework with Adaptivity to System Heterogeneity. CoRR abs/2204.03529 (2022) - 2021
- [c32]Yichuan Li
BFGS-ADMM for Large-Scale Distributed Optimization. CDC 2021: 1689-1694 - [c31]Yichuan Li
DN-ADMM: Distributed Newton ADMM for Multi-agent Optimization. CDC 2021: 3343-3348 - [c30]Anran Li
Efficient Federated-Learning Model Debugging. ICDE 2021: 372-383 - [c29]Jiawei Huang, Ruomin Huang, Wenjie Liu, Nikolaos M. Freris, Hu Ding:
A Novel Sequential Coreset Method for Gradient Descent Algorithms. ICML 2021: 4412-4422 - [c28]Xiaoyu Wang
LCL: Light Contactless Low-delay Load Monitoring via Compressive Attentional Multi-label Learning. IWQoS 2021: 1-6 - [c27]Xiaoyu Wang
CALM: Contactless Accurate Load Monitoring via Modality Distillation. SECON 2021: 1-9 - [i9]Jiawei Huang, Ruomin Huang, Wenjie Liu, Nikolaos M. Freris, Hu Ding:
A Novel Sequential Coreset Method for Gradient Descent Algorithms. CoRR abs/2112.02504 (2021) - 2020
- [j10]Saif Eddin Jabari
Sparse Travel Time Estimation from Streaming Data. Transp. Sci. 54(1): 1-20 (2020) - [c26]Yichuan Li
D-SOP: Distributed Second Order Proximal Method for Convex Composite Optimization. ACC 2020: 2844-2849 - [c25]Nikolaos M. Freris, Chuhan Yang, Michalis Vlachos
FIDE: Fast and Interpretable 2D Embedding with correlation, distance, and rank considerations. BigCom 2020: 57-65 - [c24]Kun Zhang, Shuang Cong, Yaru Tang, Nikolaos M. Freris:
An Efficient Online Estimation Algorithm for Evolving Quantum States. EUSIPCO 2020: 2249-2253 - [c23]Nikolaos M. Freris, Michalis Vlachos
An Interpretable Data Embedding under Uncertain Distance Information. ICDM 2020: 1022-1027 - [c22]Chi Zhang, Haisheng Tan, Haoqiang Huang, Zhenhua Han, Shaofeng H.-C. Jiang
Online dispatching and scheduling of jobs with heterogeneous utilities in edge computing. MobiHoc 2020: 101-110 - [c21]Pengfei Li, Xin He, Nikolaos M. Freris, Panlong Yang:
Capacity Analysis of Ambient Backscatter System with Bernoulli Distributed Excitation. WASA (1) 2020: 218-230
2010 – 2019
- 2019
- [j9]Ala Darabseh, Nikolaos M. Freris
A software-defined architecture for control of IoT cyberphysical systems. Clust. Comput. 22(4): 1107-1122 (2019) - [j8]Puya Latafat
A New Randomized Block-Coordinate Primal-Dual Proximal Algorithm for Distributed Optimization. IEEE Trans. Autom. Control. 64(10): 4050-4065 (2019) - 2018
- [c20]Hoi-To Wai, Nikolaos M. Freris, Angelia Nedic
SUCAG: Stochastic Unbiased Curvature-aided Gradient Method for Distributed Optimization. CDC 2018: 1751-1756 - [c19]Tong Huang, Nikolaos M. Freris, P. R. Kumar, Le Xie
Localization of forced oscillations in the power grid under resonance conditions. CISS 2018: 1-5 - [c18]Michalis Smyrnakis, Nikolaos M. Freris, Hamidou Tembine
Consensus over evolutionary graphs. ECC 2018: 2218-2223 - [i8]Saif Eddin Jabari, Nikolaos M. Freris, Deepthi Mary Dilip:
Sparse Travel Time Estimation from Streaming Data. CoRR abs/1804.08130 (2018) - [i7]Ala Darabseh, Nikolaos M. Freris:
A software-defined architecture for control of IoT Cyberphysical Systems. CoRR abs/1810.03822 (2018) - 2017
- [j7]Jianping He
Distributed control and optimization with resource-constrained networked systems. Neurocomputing 270: 1-3 (2017) - [c17]Ala Darabseh, Nikolaos M. Freris:
A Software Defined architecture for Cyberphysical Systems. SDS 2017: 54-60 - [i6]Liang Dai, Nikolaos M. Freris:
Fully distributed PageRank computation with exponential convergence. CoRR abs/1705.09927 (2017) - 2016
- [c16]Nikolaos M. Freris, Panagiotis Patrinos
Distributed computing over encrypted data. Allerton 2016: 1116-1122 - [c15]Xiaoming Duan, Nikolaos M. Freris, Peng Cheng:
Secure clock synchronization under collusion attacks. Allerton 2016: 1142-1148 - [c14]Pantelis Sopasakis, Nikolaos M. Freris, Panagiotis Patrinos
Accelerated reconstruction of a compressively sampled data stream. EUSIPCO 2016: 1078-1082 - [c13]Ala Darabseh, Nikolaos M. Freris, Yaser Jararweh
SDCache: Software Defined Data Caching Control for Cloud Services. FiCloud 2016: 164-169 - 2015
- [j6]Michail Vlachos
Compressive mining: fast and optimal data mining in the compressed domain. VLDB J. 24(1): 1-24 (2015) - [c12]Anastasios Zouzias, Nikolaos M. Freris:
Randomized gossip algorithms for solving Laplacian systems. ECC 2015: 1920-1925 - 2014
- [j5]Spyros I. Zoumpoulis, Michail Vlachos
Right-Protected Data Publishing with Provable Distance-Based Mining. IEEE Trans. Knowl. Data Eng. 26(8): 2014-2028 (2014) - [i5]Michail Vlachos, Nikolaos M. Freris, Anastasios Kyrillidis:
Compressive Mining: Fast and Optimal Data Mining in the Compressed Domain. CoRR abs/1405.5873 (2014) - 2013
- [j4]Anastasios Zouzias, Nikolaos M. Freris:
Randomized Extended Kaczmarz for Solving Least Squares. SIAM J. Matrix Anal. Appl. 34(2): 773-793 (2013) - [j3]Nikolaos M. Freris, Cheng-Hsin Hsu, Jatinder Pal Singh, Xiaoqing Zhu:
Distortion-Aware Scalable Video Streaming to Multinetwork Clients. IEEE/ACM Trans. Netw. 21(2): 469-481 (2013) - [c11]Nikolaos M. Freris, Orhan Öçal, Martin Vetterli
Compressed sensing of streaming data. Allerton 2013: 1242-1249 - [c10]Gilles Baechler, Nikolaos M. Freris, R. Frank Quick, Ronald E. Crochiere:
Finite rate of innovation based modeling and compression of ECG signals. ICASSP 2013: 1252-1256 - [i4]Nikolaos M. Freris, Vivek S. Borkar, P. R. Kumar:
Model-based clock synchronization protocol for wireless sensor networks. CoRR abs/1311.6914 (2013) - [i3]Nikolaos M. Freris, Orhan Öçal, Martin Vetterli:
Recursive Compressed Sensing. CoRR abs/1312.4895 (2013) - 2012
- [c9]Nikolaos M. Freris, Anastasios Zouzias:
Fast distributed smoothing of relative measurements. CDC 2012: 1411-1416 - [c8]Anastasios Zouzias, Michail Vlachos
Unsupervised Sparse Matrix Co-clustering for Marketing and Sales Intelligence. PAKDD (1) 2012: 591-603 - [c7]Nikolaos M. Freris, Michail Vlachos, Deepak S. Turaga:
Cluster-Aware Compression with Provable K-means Preservation. SDM 2012: 82-93 - [c6]Nikolaos M. Freris, Michail Vlachos, Suleyman Serdar Kozat:
Optimal Distance Estimation Between Compressed Data Series. SDM 2012: 343-354 - [i2]Anastasios Zouzias, Nikolaos M. Freris:
Randomized Extended Kaczmarz for Solving Least-Squares. CoRR abs/1205.5770 (2012) - 2011
- [j2]Nikolaos M. Freris, Scott R. Graham
Fundamental Limits on Synchronizing Clocks Over Networks. IEEE Trans. Autom. Control. 56(6): 1352-1364 (2011) - [c5]Nikolaos M. Freris:
Performance bounds for CSMA-based medium access control. CDC/ECC 2011: 5945-5950 - 2010
- [b1]Nikolaos M. Freris:
Wireless Networks: Model and Optimization based approaches to Clock Synchronization, Random Access MAC and Video Streaming. University of Illinois Urbana-Champaign, USA, 2010 - [j1]Nikolaos M. Freris, Hemant Kowshik, P. R. Kumar:
Fundamentals of Large Sensor Networks: Connectivity, Capacity, Clocks, and Computation. Proc. IEEE 98(11): 1828-1846 (2010) - [c4]Nikolaos M. Freris, Cheng-Hsin Hsu, Xiaoqing Zhu, Jatinder Pal Singh:
Resource Allocation for Multihomed Scalable Video Streaming to Multiple Clients. ISM 2010: 9-16
2000 – 2009
- 2009
- [c3]Nikolaos M. Freris, Vivek S. Borkar, P. R. Kumar:
A model-based approach to clock synchronization. CDC 2009: 5744-5749 - [i1]Nikolaos M. Freris, Hemant Kowshik, P. R. Kumar:
Fundamentals of Large Sensor Networks: Connectivity, Capacity, Clocks and Computation. CoRR abs/0911.3357 (2009) - 2008
- [c2]Robert J. McCabe, Nikolaos M. Freris, P. R. Kumar:
Controlled random access MAC for network utility maximization in wireless networks. CDC 2008: 2350-2355 - 2007
- [c1]Nikolaos M. Freris, Panganamala Ramana Kumar:
Fundamental limits on synchronization of affine clocks in networks. CDC 2007: 921-926
Coauthor Index
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last updated on 2024-11-22 20:38 CET by the dblp team
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