Titlebook: Collaborative Computing: Networking, Applications and Worksharing; 18th EAI Internation Honghao Gao,Xinheng Wang,Tasos Dagiuklas Conference

芭蕾舞女演员

colony

拘留

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

BRAVE

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

耕种

thrombus

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

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.