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Abstract: Federated learning-based navigation has received much attention in vehicular IoT. The intention is to employ a big number of end-users for data ...
In this paper, we have proposed a privacy-preserving proof- of-location scheme under the federated learning-based nav- igation framework in vehicular IoT, ...
This approach offers a novel solution for the development and expansion of edge computing scenarios. It has been extensively researched and applied in the ...
May 31, 2022 · In this paper, we propose a Blockchain based Privacy-preserving Federated Learning scheme named BPFL, which uses blockchain as the underlying ...
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Jan 7, 2024 · It systematically explores Blockchain fundamentals and Federated Learning along with its categorization. It delves into relevant literature on ...
May 24, 2024 · This paper proposes a framework to address these privacy and trust issues by introducing a mechanism for training the global model using ...
Jan 7, 2024 · This survey can help academia and industry practitioners understand which theories and techniques exist to improve the performance of FL ...
Missing: Achieving Proofs
This paper presents and evaluates a novel decentralized, infrastructure-independent proof-of-location scheme based on blockchain technology that guarantees ...
May 22, 2024 · Abstract—Mobile crowdsourcing (MCS) is an emerging paradigm that enables the outsourcing of a complex task to a group of mobile devices.
The proposed blockchain-based FL privacy-preserving framework features flexibility and autonomy, which can perform multiple tasks in parallel. The proposed ...