IoT Urban River Water Quality System Using Federated Learning via Knowledge Distillation-Reference-Cited by-同舟云学术

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IoT Urban River Water Quality System Using Federated Learning via Knowledge Distillation

Published:2024-06-09 Issue: Volume: Page:1515-1520
ISSN:
Container-title:ICC 2024 - IEEE International Conference on Communications
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Author:

Dahane Amine¹,Benameur Rabaie¹,Naloufi Manel²,Souihi Sami²,Abreu Thiago²,Lucas Francoise S.³,Mellouk Abdelhamid²

Affiliation:

1. University of Oran 1,Laboratory of Industrial Computing and Networks (RIIR),Oran,Algeria

2. TincNET Research Team, Univ. Paris-Est Créteil,Image, Signal and Intelligent Systems (LiSSi) Laboratory,France

3. Univ. Paris-Est Créteil, École des Ponts ParisTech,Laboratoire Eau, Environnement et Systèmes Urbains (Leesu),France

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10622104/10622158/10622491.pdf?arnumber=10622491

Reference17 articles.

1. IoT and Big Data Applications in Smart Cities: Recent Advances, Challenges, and Critical Issues

2. Quality Assessment and Monitoring of River Water Using IoT Infrastructure

3. Urban river pollution in Bangladesh during last 40 years: potential public health and ecological risk, present policy, and future prospects toward smart water management

4. Water Contamination and Human Health Risks in Pakistan: A Review

5. Guidelines for safe recreational water environments: Coastal and fresh waters (Vol. 1);World Health Organization,2021

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