May 2, 2024, 4:42 a.m. | Elham Shammar, Xiaohui Cui, Mohammed A. A. Al-qaness

cs.LG updates on arXiv.org arxiv.org

arXiv:2405.00556v1 Announce Type: new
Abstract: Deep learning models have raised privacy and security concerns due to their reliance on large datasets on central servers. As the number of Internet of Things (IoT) devices increases, artificial intelligence (AI) will be crucial for resource management, data processing, and knowledge acquisition. To address those issues, federated learning (FL) has introduced a novel approach to building a versatile, large-scale machine learning framework that operates in a decentralized and hardware-agnostic manner. However, FL faces network …

abstract acquisition applications artificial artificial intelligence arxiv concepts concerns cs.lg data data processing datasets deep learning devices intelligence internet internet of things iot knowledge knowledge acquisition large datasets management privacy privacy and security processing reliance resource management security security concerns servers survey trends type will

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