Anirban Das

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

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Bibliography

2024
Passive Monitoring of Dangerous Driving Behaviors Using mmWave Radar.
Pervasive Mob. Comput., 2024

UniPreCIS: A data preprocessing solution for collocated services on shared IoT.
Future Gener. Comput. Syst., 2024

RainbowPO: A Unified Framework for Combining Improvements in Preference Optimization.
CoRR, 2024

LLM Surgery: Efficient Knowledge Unlearning and Editing in Large Language Models.
CoRR, 2024

Preference Tuning with Human Feedback on Language, Speech, and Vision Tasks: A Survey.
CoRR, 2024

A Dataset for Multi-intensity Continuous Human Activity Recognition through Passive Sensing.
CoRR, 2024

AcouDL: Context-Aware Daily Activity Recognition from Natural Acoustic Signals.
Proceedings of the IEEE International Conference on Smart Computing, 2024

Demo Abstract: MARS -An mmWave-based Multi-user Activity Tracking Solution.
Proceedings of the 23rd ACM/IEEE International Conference on Information Processing in Sensor Networks, 2024

Continuous Multi-user Activity Tracking via Room-Scale mmWave Sensing.
Proceedings of the 23rd ACM/IEEE International Conference on Information Processing in Sensor Networks, 2024

2023
mmDrive: mmWave Sensing for Live Monitoring and On-Device Inference of Dangerous Driving.
Proceedings of the IEEE International Conference on Pervasive Computing and Communications, 2023

mmAssist : Passive Monitoring of Driver's Attentiveness Using mmWave Sensors.
Proceedings of the 15th International Conference on COMmunication Systems & NETworkS, 2023

2022
Cross-Silo Federated Learning for Multi-Tier Networks with Vertical and Horizontal Data Partitioning.
ACM Trans. Intell. Syst. Technol., 2022

Where do all my smart home data go? Context-aware data generation and forwarding for edge-based microservices over shared IoT infrastructure.
Future Gener. Comput. Syst., 2022

UniPreCIS : A data pre-processing solution for collocated services on shared IoT.
CoRR, 2022

Leveraging ambient sensing for the estimation of curiosity-driven human crowd.
Proceedings of the IEEE International Systems Conference, 2022

Compressed-VFL: Communication-Efficient Learning with Vertically Partitioned Data.
Proceedings of the International Conference on Machine Learning, 2022

Experience: Developing a Testbed for Ambient Sensing and in-Network Data Processing.
Proceedings of the 14th International Conference on COMmunication Systems & NETworkS, 2022

Democratizing Language Learning using Machine Learning.
Proceedings of the 56th Annual Conference on Information Sciences and Systems, 2022

2021
Diffusion and Consensus in a Weakly Coupled Network of Networks.
IEEE Trans. Control. Netw. Syst., 2021

A novel enhanced decision tree model for detecting chronic kidney disease.
Netw. Model. Anal. Health Informatics Bioinform., 2021

Cross-Silo Federated Learning for Multi-Tier Networks with Vertical and Horizontal Data Partitioning.
CoRR, 2021

Classification of Indian Classical Music With Time-Series Matching Deep Learning Approach.
IEEE Access, 2021

Multi-Level Local SGD: Distributed SGD for Heterogeneous Hierarchical Networks.
Proceedings of the 9th International Conference on Learning Representations, 2021

Multi-Tier Federated Learning for Vertically Partitioned Data.
Proceedings of the IEEE International Conference on Acoustics, 2021

2020
Multi-Level Local SGD for Heterogeneous Hierarchical Networks.
CoRR, 2020

Formalizing Event-Driven Behavior of Serverless Applications.
Proceedings of the Service-Oriented and Cloud Computing, 2020

A Study on Real-Time Edge Computed Occupancy Estimation in an Indoor Environment.
Proceedings of the 2020 International Conference on COMmunication Systems & NETworkS, 2020

Performance Optimization for Edge-Cloud Serverless Platforms via Dynamic Task Placement.
Proceedings of the 20th IEEE/ACM International Symposium on Cluster, 2020

Skedulix: Hybrid Cloud Scheduling for Cost-Efficient Execution of Serverless Applications.
Proceedings of the 13th IEEE International Conference on Cloud Computing, 2020

2019
Privacy is What We Care About: Experimental Investigation of Federated Learning on Edge Devices.
CoRR, 2019

Comparative Analysis Amid National and International MPLS Local Loop Optimization and Commercial Impact.
Proceedings of the International Conference on contemporary Computing and Informatics, 2019

Significance of Adaptive Sensing for Smart Building Monitoring: A Practical Study.
Proceedings of the 11th International Conference on Communication Systems & Networks, 2019

Motivating In-network Fusion for Smart Infrastructure Monitoring.
Proceedings of the 11th International Conference on Communication Systems & Networks, 2019

2018
EdgeBench: Benchmarking Edge Computing Platforms.
Proceedings of the 2018 IEEE/ACM International Conference on Utility and Cloud Computing Companion, 2018

Context Aware Data Collection Framework for Critical Infrastructure Monitoring System.
Proceedings of the 10th on Wireless of the Students, 2018

SDCF: Sensory Data Collection Framework for Smart Building Application.
Proceedings of the 2018 IEEE SENSORS, New Delhi, India, October 28-31, 2018, 2018

Convergence Rate of Consensus in a Network of Networks.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

2017
Detection of Exfiltration and Tunneling over DNS.
Proceedings of the 16th IEEE International Conference on Machine Learning and Applications, 2017

Modeling user communities for identifying security risks in an organization.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

2015
Sentiment analysis using cosine similarity measure.
Proceedings of the 2nd IEEE International Conference on Recent Trends in Information Systems, 2015

2010
An Efficient Architecture for 3-D Discrete Wavelet Transform.
IEEE Trans. Circuits Syst. Video Technol., 2010


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