80 citations · 328 across the 36 of their papers we have counts for
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cs.LG2021
Robust Federated Learning with Attack-Adaptive Aggregation
Ching Pui Wan, Qifeng Chen
Federated learning is vulnerable to various attacks, such as model poisoning and backdoor attacks, even if some existing defense strategies are used. To address this challenge, we…
cs.LG2019
Attack-Resistant Federated Learning with Residual-based Reweighting
Shuhao Fu, Chulin Xie, Bo Li +1
Federated learning has a variety of applications in multiple domains by utilizing private training data stored on different devices. However, the aggregation process in federated l…
cs.LG2018
Combinatorial Optimization with Graph Convolutional Networks and Guided Tree Search
Zhuwen Li, Qifeng Chen, Vladlen Koltun
We present a learning-based approach to computing solutions for certain NP-hard problems. Our approach combines deep learning techniques with useful algorithmic elements from class…