Streaming Data

Streaming data analysis focuses on efficiently processing continuous data flows to extract insights and build predictive models in real-time. Current research emphasizes developing online learning algorithms, including those based on incremental gradient methods, Koopman operators, and autoencoders, to handle the dynamic nature of these data streams and address challenges like concept drift and limited memory. These advancements are crucial for applications ranging from anomaly detection in sensor networks to personalized recommendations in online services, enabling more responsive and efficient systems.

Papers

October 22, 2024

packetLSTM: Dynamic LSTM Framework for Streaming Data with Varying Feature Space
Rohit Agarwal, Karaka Prasanth Naidu, Alexander Horsch, Krishna Agarwal, Dilip K. Prasad
LSTM Network Feature Space Link Stream Streaming Data

August 2, 2024

Point Prediction for Streaming Data
Aleena Chanda, N. V. Vinodchandran, Bertrand Clarke
Streaming Data Point Prediction Dirichlet Prior Prediction Problem

July 18, 2024

Online learning of Koopman operator using streaming data from different dynamical regimes
Kartik Loya, Phanindra Tallapragada
Online Learning Koopman Operator Data Driven Modeling Streaming Data Observability Analysis Subspace Identification Dynamical Regime

June 3, 2024

Learning from Streaming Data when Users Choose
Jinyan Su, Sarah Dean
LeArning Abstract User Base Feedback Loop Streaming Data Online Marketplace Model Importance Negative Feedback

June 1, 2024

Turnstile $\ell_p$ leverage score sampling with applications
Alexander Munteanu, Simon Omlor
Financial Application Subsampling Method Streaming Data Leverage Score

May 29, 2024

Stochastic Optimization Algorithms for Instrumental Variable Regression with Streaming Data
Xuxing Chen, Abhishek Roy, Yifan Hu, Krishnakumar Balasubramanian
Stochastic Optimization Least Square Instrumental Variable Streaming Data Minimax Optimization Problem Conditional Stochastic Optimization

May 20, 2024

Energy-Efficient Federated Edge Learning with Streaming Data: A Lyapunov Optimization Approach
Chung-Hsuan Hu, Zheng Chen, Erik G. Larsson
Resource Allocation Lyapunov Function Federated Edge Learning Stochastic Optimization Problem Edge Learning Streaming Data

April 23, 2024

A Unified Replay-based Continuous Learning Framework for Spatio-Temporal Prediction on Streaming Data
Hao Miao, Yan Zhao, Chenjuan Guo, Bin Yang, Kai Zheng, Feiteng Huang, Jiandong Xie, Christian S. Jensen
Unified Alignment Spatio Temporal Mixup Mechanism Spatio Temporal Prediction Streaming Data Replay Based Continual Learning

March 24, 2024

CBGT-Net: A Neuromimetic Architecture for Robust Classification of Streaming Data
Shreya Sharma, Dana Hughes, Katia Sycara
Neural Network Model Image Classification Task LSTM Model Robust Classification Streaming Data Traditional Neural Network

January 22, 2024

On-Time Delivery in Crowdshipping Systems: An Agent-Based Approach Using Streaming Data
Jeremias Dötterl, Ralf Bruns, Jürgen Dunkel, Sascha Ossowski
Agent Based Streaming Data Parcel Delivery

October 29, 2023

Sketching Algorithms for Sparse Dictionary Learning: PTAS and Turnstile Streaming
Gregory Dexter, Petros Drineas, David P. Woodruff, Taisuke Yasuda
Practical Algorithm K$ Mean Dictionary Learning Streaming Data Polynomial Time Approximation

October 20, 2023

DYNAMITE: Dynamic Interplay of Mini-Batch Size and Aggregation Frequency for Federated Learning with Static and Streaming Dataset
Weijie Liu, Xiaoxi Zhang, Jingpu Duan, Carlee Joe-Wong, Zhi Zhou, Xu Chen
Federated Learning Mini Batch Streaming Data Optimal Offline Federated Learning Convergence Incremental Aggregation

September 10, 2023

Linear Speedup of Incremental Aggregated Gradient Methods on Streaming Data
Xiaolu Wang, Cheng Jin, Hoi-To Wai, Yuantao Gu
Optimization Purpose Convex Optimization Linear Speedup Streaming Data Aggregated Gradient Deterministic Gradient

September 5, 2023

T-SaS: Toward Shift-aware Dynamic Adaptation for Streaming Data
Weijieying Ren, Tianxiang Zhao, Wei Qin, Kunpeng Liu
Distribution Shift Data Stream Sequential Data Streaming Data Covariate Shift Adaptation Dynamic Shift

July 28, 2023

Universal Recurrent Event Memories for Streaming Data
Ran Dou, Jose Principe
Recurrent Neural Network Streaming Data

June 27, 2023

DataCI: A Platform for Data-Centric AI on Streaming Data
Huaizheng Zhang, Yizheng Huang, Yuanming Li
Data Centric Data Stream Diverse Platform Streaming Data

May 26, 2023

Summarizing Stream Data for Memory-Constrained Online Continual Learning
Jianyang Gu, Kai Wang, Wei Jiang, Yang You
Continual Learning Online Continual Learning Continual Learning Benchmark Replay Based Streaming Data Efficient Generated Object Replay

May 15, 2023

Autoencoder-based Anomaly Detection in Streaming Data with Incremental Learning and Concept Drift Adaptation
Jin Li, Kleanthis Malialis, Marios M. Polycarpou
Synthetic Data Incremental Learning Class Imbalance Drift Detection Based Anomaly Detection Streaming Data Concept Drift Adaptation

May 12, 2023

A Memory Model for Question Answering from Streaming Data Supported by Rehearsal and Anticipation of Coreference Information
Vladimir Araujo, Alvaro Soto, Marie-Francine Moens
Coreference Information Memory Network Streaming Data Memory Model Memorization Capacity Rehearsal Based Video Incremental Comprehension

May 2, 2023

Dynamic Scheduling for Federated Edge Learning with Streaming Data
Chung-Hsuan Hu, Zheng Chen, Erik G. Larsson
Federated Edge Learning Stochastic Optimization Problem Dynamic Scheduling Streaming Data Dynamic Importance

Streaming Data

Papers

packetLSTM: Dynamic LSTM Framework for Streaming Data with Varying Feature Space

Point Prediction for Streaming Data

Online learning of Koopman operator using streaming data from different dynamical regimes

Learning from Streaming Data when Users Choose

Turnstile $\ell_p$ leverage score sampling with applications

Stochastic Optimization Algorithms for Instrumental Variable Regression with Streaming Data

Energy-Efficient Federated Edge Learning with Streaming Data: A Lyapunov Optimization Approach

A Unified Replay-based Continuous Learning Framework for Spatio-Temporal Prediction on Streaming Data

CBGT-Net: A Neuromimetic Architecture for Robust Classification of Streaming Data

On-Time Delivery in Crowdshipping Systems: An Agent-Based Approach Using Streaming Data

Sketching Algorithms for Sparse Dictionary Learning: PTAS and Turnstile Streaming

DYNAMITE: Dynamic Interplay of Mini-Batch Size and Aggregation Frequency for Federated Learning with Static and Streaming Dataset

Linear Speedup of Incremental Aggregated Gradient Methods on Streaming Data

T-SaS: Toward Shift-aware Dynamic Adaptation for Streaming Data

Universal Recurrent Event Memories for Streaming Data

DataCI: A Platform for Data-Centric AI on Streaming Data

Summarizing Stream Data for Memory-Constrained Online Continual Learning

Autoencoder-based Anomaly Detection in Streaming Data with Incremental Learning and Concept Drift Adaptation

A Memory Model for Question Answering from Streaming Data Supported by Rehearsal and Anticipation of Coreference Information

Dynamic Scheduling for Federated Edge Learning with Streaming Data