13 citations · 58 across the 13 of their papers we have counts for
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cs.LG2021★ 8 cited
FedZKT: Zero-Shot Knowledge Transfer towards Resource-Constrained Federated Learning with Heterogeneous On-Device Models
Lan Zhang, Dapeng Wu, Xiaoyong Yuan
Federated learning enables multiple distributed devices to collaboratively learn a shared prediction model without centralizing their on-device data. Most of the current algorithms…
cs.LG2021
Adaptive perturbation adversarial training: based on reinforcement learning
Zhishen Nie, Ying Lin, Sp Ren +1
Adversarial training has become the primary method to defend against adversarial samples. However, it is hard to practically apply due to many shortcomings. One of the shortcomings…
cs.LG2021★ 11 cited
A Vertical Federated Learning Framework for Horizontally Partitioned Labels
Wensheng Xia, Ying Li, Lan Zhang +2
Vertical federated learning is a collaborative machine learning framework to train deep leaning models on vertically partitioned data with privacy-preservation. It attracts much at…