A Survey of Security Strategies in Federated Learning: Defending Models, Data, and Privacy

Future Internet, Год журнала: 2024, Номер 16(10), С. 374 - 374

Опубликована: Окт. 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.

Язык: Английский

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Effect of Optimized Tilt Angle of PV Modules on Solar Irradiance for Residential and Commercial Buildings in Different Cities of Pakistan: Simulation‐Based Study

Energy Science & Engineering, Год журнала: 2025, Номер unknown

Опубликована: Фев. 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.

Язык: Английский

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Similarity-driven truncated aggregation framework for privacy-preserving short term load forecasting

Internet of Things, Год журнала: 2025, Номер unknown, С. 101530 - 101530

Опубликована: Фев. 1, 2025

Язык: Английский

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

Internet of Things, Год журнала: 2025, Номер unknown, С. 101568 - 101568

Опубликована: Март 1, 2025

Язык: Английский

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A comprehensive survey on privacy-preserving technologies for Smart Grids

Computers & Electrical Engineering, Год журнала: 2025, Номер 124, С. 110371 - 110371

Опубликована: Май 1, 2025

Язык: Английский

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Centralised vs. decentralised federated load forecasting in smart buildings: Who holds the key to adversarial attack robustness?

Energy and Buildings, Год журнала: 2024, Номер 324, С. 114871 - 114871

Опубликована: Окт. 4, 2024

Язык: Английский

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