6 citations · 11 across the 4 of their papers we have counts for
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cs.LG2023
Robust Tickets Can Transfer Better: Drawing More Transferable Subnetworks in Transfer Learning
Yonggan Fu, Ye Yuan, Shang Wu +2
Transfer learning leverages feature representations of deep neural networks (DNNs) pretrained on source tasks with rich data to empower effective finetuning on downstream tasks. Ho…
cs.LG2021★ 6 cited
Backdoor Attacks on Federated Learning with Lottery Ticket Hypothesis
Zeyuan Yin, Ye Yuan, Panfeng Guo +1
Edge devices in federated learning usually have much more limited computation and communication resources compared to servers in a data center. Recently, advanced model compression…
cs.LG2021★ 3 cited
DeceFL: A Principled Decentralized Federated Learning Framework
Ye Yuan, Jun Liu, Dou Jin +12
Traditional machine learning relies on a centralized data pipeline, i.e., data are provided to a central server for model training. In many applications, however, data are inherent…