In this paper, we propose a Verifiable Property Federated Learning (VPFL) framework to overcome the above invisible attacks.
In this paper, we propose a Verifiable Property Federated Learning (VPFL) framework to overcome the above invisible attacks. We present a black- box ...
Mar 28, 2024 · A verifiable property federated learning framework against invisible attacks in distributed IoT. December 2023
VPFL: A Verifiable Property Federated Learning Framework Against Invisible Attacks in Distributed IoT. VPFL:分散IoTにおける不可視攻撃に対する検証可能な特性 ...
VPFL: A Verifiable Property Federated Learning Framework Against Invisible Attacks in Distributed IoT. Y Wu, H Cheng, L Guan, P Liu, F Chen, M Wang. 2023 IEEE ...
In this paper, we propose a verifiable privacy-preserving federated learning scheme, named VPFL, for edge computing systems by combining the Paillier ...
VPFL: A Verifiable Property Federated Learning Framework Against Invisible Attacks in Distributed IoT. Y Wu, H Cheng, L Guan, P Liu, F Chen, M Wang. 2023 IEEE ...
VPFL: A Verifiable Property Federated Learning Framework Against Invisible Attacks in Distributed IoT. HPCC/DSS/SmartCity/DependSys 2023: 671-678; 2021. [j1].
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What is federated learning in IOT?
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Jun 23, 2024 · Federated learning has gained popularity as a solution to data availability and privacy challenges in machine learning. However, the aggregation ...
This article proposes the VFL, a verifiable federated learning with privacy-preserving for big data in industrial IoT that uses Lagrange interpolation.
Missing: VPFL: Property Invisible Distributed