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cs.LG2025
DATA-WA: Demand-based Adaptive Task Assignment with Dynamic Worker Availability Windows
Jinwen Chen, Jiannan Guo, Dazhuo Qiu +4
With the rapid advancement of mobile networks and the widespread use of mobile devices, spatial crowdsourcing, which involves assigning location-based tasks to mobile workers, has…
cs.LG2024
LAC: Graph Contrastive Learning with Learnable Augmentation in Continuous Space
Zhenyu Lin, Hongzheng Li, Yingxia Shao +3
Graph Contrastive Learning frameworks have demonstrated success in generating high-quality node representations. The existing research on efficient data augmentation methods and id…
cs.LG2024
Trust-free Personalized Decentralized Learning
Yawen Li, Yan Li, Junping Du +3
Personalized collaborative learning in federated settings faces a critical trade-off between customization and participant trust. Existing approaches typically rely on centralized…