Centralised vs. decentralised federated load forecasting in smart buildings: Who holds the key to adversarial attack robustness? DOI Creative Commons
Habib Ullah Manzoor, Sajjad Hussain, David Flynn

et al.

Energy and Buildings, Journal Year: 2024, Volume and Issue: 324, P. 114871 - 114871

Published: Oct. 4, 2024

Language: Английский

A Survey of Security Strategies in Federated Learning: Defending Models, Data, and Privacy DOI Creative Commons
Habib Ullah Manzoor,

Attia Shabbir,

Ao Chen

et al.

Future Internet, Journal Year: 2024, Volume and Issue: 16(10), P. 374 - 374

Published: Oct. 15, 2024

Federated Learning (FL) has emerged as a transformative paradigm in machine learning, enabling decentralized model training across multiple devices while preserving data privacy. However, the nature of FL introduces significant security challenges, making it vulnerable to various attacks targeting models, data, and This survey provides comprehensive overview defense strategies against these attacks, categorizing them into defenses privacy attacks. We explore pre-aggregation, in-aggregation, post-aggregation defenses, highlighting their methodologies effectiveness. Additionally, delves advanced techniques such homomorphic encryption differential safeguard sensitive information. The integration blockchain technology for enhancing environments is also discussed, along with incentive mechanisms promote active participation among clients. Through this detailed examination, aims inform guide future research developing robust frameworks systems.

Language: Английский

Citations

10

Effect of Optimized Tilt Angle of PV Modules on Solar Irradiance for Residential and Commercial Buildings in Different Cities of Pakistan: Simulation‐Based Study DOI Creative Commons
Habib Ullah Manzoor, Sheikh Muhammad Aaqib,

Tareq Manzoor

et al.

Energy Science & Engineering, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 21, 2025

ABSTRACT The tilt angle of a solar PV panel is critical factor in improving the efficiency photovoltaic (PV) systems. While tracking systems can enhance performance, they are typically not cost‐effective for residential areas. Alternatively, setting an optimized fixed or adjusting seasonally mitigate power losses. This study evaluates optimal seasonal angles and corresponding radiation on panels 10 major cities across Pakistan. A novel mathematical framework proposed to calculate using parameters such as alignment, azimuth, gradient, temporal angles. Seasonal adjustments shown increase intensity from during winter, significantly enhancing output power. For instance, improvement up density was observed at Quaid‐e‐Azam Solar Park crystalline cells. These findings demonstrate potential substantial improvements production through angles, particularly shorter winter days.

Language: Английский

Citations

1

Similarity-driven truncated aggregation framework for privacy-preserving short term load forecasting DOI Creative Commons
Ahsan Raza Khan,

Mohammad Al-Quraan,

Lina Mohjazi

et al.

Internet of Things, Journal Year: 2025, Volume and Issue: unknown, P. 101530 - 101530

Published: Feb. 1, 2025

Language: Английский

Citations

0

Federated Hyperdimensional Computing for hierarchical and distributed quality monitoring in smart manufacturing DOI

Zhiling Chen,

Danny Hoang,

Fardin Jalil Piran

et al.

Internet of Things, Journal Year: 2025, Volume and Issue: unknown, P. 101568 - 101568

Published: March 1, 2025

Language: Английский

Citations

0

A comprehensive survey on privacy-preserving technologies for Smart Grids DOI Creative Commons
Hafsa Bibi, Mehran Abolhasan, Justin Lipman

et al.

Computers & Electrical Engineering, Journal Year: 2025, Volume and Issue: 124, P. 110371 - 110371

Published: May 1, 2025

Language: Английский

Citations

0

Centralised vs. decentralised federated load forecasting in smart buildings: Who holds the key to adversarial attack robustness? DOI Creative Commons
Habib Ullah Manzoor, Sajjad Hussain, David Flynn

et al.

Energy and Buildings, Journal Year: 2024, Volume and Issue: 324, P. 114871 - 114871

Published: Oct. 4, 2024

Language: Английский

Citations

3