972 citations · 2.3k across the 31 of their papers we have counts for
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cs.LG2022
On Calibration of Graph Neural Networks for Node Classification
Tong Liu, Yushan Liu, Marcel Hildebrandt +3
Graphs can model real-world, complex systems by representing entities and their interactions in terms of nodes and edges. To better exploit the graph structure, graph neural networ…
cs.NI2022★ 2 cited
Client Selection and Bandwidth Allocation for Federated Learning: An Online Optimization Perspective
Yun Ji, Zhoubin Kou, Xiaoxiong Zhong +3
Federated learning (FL) can train a global model from clients' local data set, which can make full use of the computing resources of clients and performs more extensive and efficie…