看法等
发表于 2025-3-23 11:45:10
Fully Distributed Privacy Preserving Mini-batch Gradient Descent Learning,perimentally based on churn statistics from a real smartphone trace. We derive a sufficient condition for preventing the leakage of an individual value, and we demonstrate the feasibility of the overhead of the protocol.
Missile
发表于 2025-3-23 16:00:27
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发酵
发表于 2025-3-23 21:27:07
Dynamic Message Processing and Transactional Memory in the Actor Model,ome this limitation. This allows for efficient resource utilization as these two mechanisms can be handled in parallel. We show that we can substantially reduce the execution time of high-contention workloads in a micro-benchmark as well as in a real-world application.
hermitage
发表于 2025-3-24 01:58:20
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cruise
发表于 2025-3-24 04:23:26
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Nebulous
发表于 2025-3-24 10:02:21
Leader Election Using NewSQL Database Systems,ime. The leader election protocol uses the database as distributed shared memory. Our work enables distributed systems that already use NewSQL databases to save the operational overhead of managing an additional third-party service for leader election. Our main contribution is the design, implementa
改进
发表于 2025-3-24 13:09:46
LiveCloudInspector: Towards Integrated IaaS Forensics in the Cloud,offers live remote capture of network traffic. Third, and most importantly, it provides hybrid combinations of the first two techniques, which enables enhanced analysis capabilities such as support for monitoring encrypted communication.
毗邻
发表于 2025-3-24 15:18:00
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MAUVE
发表于 2025-3-24 19:31:01
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flamboyant
发表于 2025-3-25 00:37:52
Fully Distributed Privacy Preserving Mini-batch Gradient Descent Learning,n (MPC). However, in our application domain, known MPC algorithms are not scalable or not robust enough. We propose a light-weight protocol to quickly and securely compute the sum of the inputs of a subset of participants assuming a semi-honest adversary. During the computation the participants lear