芭蕾舞女演员
发表于 2025-3-30 10:26:47
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colony
发表于 2025-3-30 13:48:16
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拘留
发表于 2025-3-30 20:28:22
Edge Federated Learning for Social Profit Optimality: A Cooperative Game Approach benefit of the cooperative system. First, we propose a method of Shapley Value contribution degree estimated by Integrated Gradients based on the method of cooperative game (IG-Shapley Value). This method can quantitatively evaluate the contribution that edge devices provide to the model at each ro
大雨
发表于 2025-3-30 22:35:12
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BRAVE
发表于 2025-3-31 03:18:13
A Context-Aware Approach to Scheduling of Multi-Data-Source Tasks in Mobile Edge Computings the task scheduling scheme in detail, including its architecture, metadata and data management, context-aware scheduling algorithm, and task offloading. We evaluate the feasibility and effectiveness of the proposed approach on a dataset of taxi trajectories in a city. The results illustrate that t
recede
发表于 2025-3-31 05:02:53
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耕种
发表于 2025-3-31 10:29:31
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thrombus
发表于 2025-3-31 17:11:39
A Negative Sampling-Based Service Recommendation Methodt, the collaborative filtering technology based on graph neural network has achieved good results in service recommendation. However, these methods ignore the influence of negative sample neighbor nodes. Therefore, we propose a service recommendation method based on negative sampling, which uses the
冥想后
发表于 2025-3-31 20:02:26
Knowledge Graph Enhanced Web API Recommendation via Neighbor Information Propagation for Multi-servit. Currently, the number of Web APIs on the Internet is huge and growing exponentially. To enable accurate and fast Web API selection for developers, researchers have proposed a variety of Web API recommendation methods. However, existing methods cannot solve the inherent data sparsity problem well.