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Unifl: Accelerating federated learning using heterogeneous hardware under a unified framework
B Che, Z Wang, Y Chen, L Guo, Y Liu, Y Tian… - IEEE …, 2023 - ieeexplore.ieee.org
Federated learning (FL) is now considered a critical method for breaking down data silos.
However, data encryption can significantly increase computing time, limiting its large-scale …
However, data encryption can significantly increase computing time, limiting its large-scale …
[PDF][PDF] IIoT аппаратная архитектура распределенных систем управления непрерывными промышленными производствами и агрокомплексами
СА Рылов - Электротехнологии и электрооборудование в АПК, 2023 - researchgate.net
В настоящее время в распределенных системах управления непрерывными
технологическими процессами и производствами в различных агрокомплексах и …
технологическими процессами и производствами в различных агрокомплексах и …
HI-CKKS: Is High-Throughput Neglected? Reimagining CKKS Efficiency with Parallelism
The proliferation of data outsourcing and cloud services has heightened privacy
vulnerabilities. CKKS, among the most prominent homomorphic encryption schemes, allows …
vulnerabilities. CKKS, among the most prominent homomorphic encryption schemes, allows …
EG-STC: An Efficient Secure Two-Party Computation Scheme Based on Embedded GPU for Artificial Intelligence Systems.
Z Dong, X Ge, Y Huang, J Dong… - Computers, Materials & …, 2024 - search.ebscohost.com
This paper presents a comprehensive exploration into the integration of Internet of Things
(IoT), big data analysis, cloud computing, and Artificial Intelligence (AI), which has led to an …
(IoT), big data analysis, cloud computing, and Artificial Intelligence (AI), which has led to an …