20 citations · 25 across the 4 of their papers we have counts for
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cs.LG2023
FedCliP: Federated Learning with Client Pruning
Beibei Li, Zerui Shao, Ao Liu +1
The prevalent communication efficient federated learning (FL) frameworks usually take advantages of model gradient compression or model distillation. However, the unbalanced local…
cs.LG2020
AN-GCN: An Anonymous Graph Convolutional Network Defense Against Edge-Perturbing Attack
Ao Liu, Beibei Li, Tao Li +2
Recent studies have revealed the vulnerability of graph convolutional networks (GCNs) to edge-perturbing attacks, such as maliciously inserting or deleting graph edges. However, a…