LSTM based content prediction for edge caching using federated learning approach

LSTM based content prediction for edge caching using federated learning approach

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2021.

Dades bibliogràfiques
Autors principals:	Mazumder, Shafkat Ahmed, Paul, Piash, ZUBAIR, DIN MOHAMMAD, Haque, Maksudul, Mayukh, Jidni
Altres autors:	Alam, Md. Golam Rabiul
Format:	Thesis
Idioma:	English
Publicat:	Brac University 2021
Matèries:	Federated Learning Edge Computing Edge Caching Content Prediction Long Short Term Memory Decentralized Learning System Cache-Hit Ratio Edge computing.
Accés en línia:	http://hdl.handle.net/10361/15208

Ítems similars

Deep learning based predictive analytics for decentralized content caching in hierarchical edge networks
per: Chakraborty, Dhruba, et al.
Publicat: (2022)

Blockchain-based edge computing for medical data storage & processing using federated learning
per: Faiyaz, Fazle Rabbi, et al.
Publicat: (2021)

UAV assisted cooperative caching on network edge using multi agent Actor critic reinforcement learning
per: Araf, Sadman, et al.
Publicat: (2021)

Link performance analysis of Unmanned Aerial Vehicles
per: Oishi, Aniqa Tasnim, et al.
Publicat: (2021)

Real-time mastitis detection in livestock using deep learning and machine learning leveraging edge devices
per: Ghosh, Kawshik Kumar, et al.
Publicat: (2023)

Federated ensemble-learning for transport mode detection in vehicular edge network
per: Alam, MD. Mustakin, et al.
Publicat: (2023)

Inflamed appendix detection from laparoscopic video footage using edge detection and morphological image processing
per: Tashfeen, Siddiq Husain, et al.
Publicat: (2017)

Comparative analysis of cloud and fog environment based on network usage and cost of execution using Ifogsim
per: Alam, Mohammad Saqibul, et al.
Publicat: (2021)

Gender detection from frontal face images
per: Alam, Mirza Mohtashim, et al.
Publicat: (2016)

Simulating the transformation of plane triangulation using edge flip algorithms
per: Anushka, A fia Hossain, et al.
Publicat: (2022)

Identification and comparative analysis of potholes using image processing algorithms
per: Anik, Fahim Shahriare, et al.
Publicat: (2018)

Quantum capacitance in strained armchair Graphene nanoribbon considering Edge effect
per: Mondol, Raktim Kumar, et al.
Publicat: (2016)

Rejuvenating Kallyanpur Canal
per: Nodi, Oindriza Reza
Publicat: (2023)

Edge-optimized machine learning models for real-time personalized health monitoring on wearables
per: Rafee, Athar Noor Mohammad, et al.
Publicat: (2024)

Conversion of Bengali speech to text using long short-term memory(LSTM)
per: Chowdhury, Mohammad Fahim, et al.
Publicat: (2021)

Data security model using deep learning and edge computing for Internet of Things (IoT) in smart city
per: Aziz, Md. Yasin, et al.
Publicat: (2021)

Advanced task scheduling algorithm for IoT Based FOG communication model
per: Mohammed, Zaber, et al.
Publicat: (2021)

Fake currency detection using image processing method
per: Alimushwan, Munshi Md., et al.
Publicat: (2017)

Performance analysis of Fog and Cloud Nodes for Cognitive Internet of Things
per: Eusufzai, Fariha, et al.
Publicat: (2021)

An android application to predict human activity using a deep learning LSTM model
per: Sikder, Debabrata
Publicat: (2024)

Human identification using dental radiograph
per: Fahad, Salem Quddus, et al.
Publicat: (2018)

Analyzing security threats and mitigation techniques for fog computing in IoT-enabled smart cities
per: Emon, Sheikh Sadi, et al.
Publicat: (2024)

The influence of neuromarketing: machine learning based empirical analysis
per: Muktadir, MD. Abdullah Al, et al.
Publicat: (2024)

Comparative performance analysis of SDN vs traditional networks using SDN controller
per: Shahriar, Md. Sakib, et al.
Publicat: (2023)

Detection and recognition of Bangladeshi fishes using surf features and CNN classifier
per: Shuhin, Syed Adiba, et al.
Publicat: (2019)

Share market forecasting with LSTM neural network and sentimental trend prediction
per: Rony, Ismail Hossain, et al.
Publicat: (2020)

Forecasting market movement in Dhaka Stock Exchange: LSTM vs. ARIMA
per: Chakraborty, Pranjal
Publicat: (2019)

Implementation of machine learning to estimate the air pollutants such as Carbon dioxide, methane, nitrous oxide and total greenhouse gas emissions in Bangladesh
per: Biswas, Sunanda, et al.
Publicat: (2022)

Bangla number plate recognition from noisy video footage using deep learning
per: Chowdhury, Mahfuzur Rahman, et al.
Publicat: (2021)

Prediction of genetic mutation from clinical data of sickle cell disease using few-shot siamese bidirectional LSTM and federated learning
per: Alam, Salman, et al.
Publicat: (2023)

Predicting temperature of major cities using machine learning and deep learning
per: Jaharabi, Wasiou, et al.
Publicat: (2024)

Time-Series Forecasting of Ethereum Price using Long Short-Term Memory (LSTM) Networks
per: Al-Wasee, Mohammad Samin, et al.
Publicat: (2022)

Optical flow based violence detection from video footage using hybrid MobileNet and Bi-LSTM
per: Haque, Tashfia, et al.
Publicat: (2024)

Micro-learning modules are linked to enhanced retention of the learners and can be geared toward subconscious knowledge acquisition in an organization
per: Siddique, Noman
Publicat: (2024)

Economic crisis prediction due to pandemic outbreak using machine learning
per: Ahmed, Tanvir, et al.
Publicat: (2021)

Bureaucratic response to administrative decentralisation : a study of Bangladesh civil service /
per: Morshed, M. Mahbubur Rahman (Mohammad Mahbubur Rahman)
Publicat: (1997)

A secured federated learning system leveraging confidence score to identify retinal disease
per: Eshan, M Sakib Osman, et al.
Publicat: (2023)

Leveraging sequential deep learning models for detecting multitude of human action categories
per: Pranta, Kazi Al Refat, et al.
Publicat: (2024)

Fortifying federated learning: security against model poisoning attacks
per: Anan, Fabiha, et al.
Publicat: (2024)

Modelling and forecasting energy demand of Bangladesh using AI based algorithms
per: Mahmud, Booshra Nazifa, et al.
Publicat: (2019)