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Our proposed FedILC algorithm leverages the gradient covariance and weighted geometric mean of Hessians to capture both inter-silo and intra-silo consistencies of environments and unravel the domain shift problems in federated networks

Home Page: https://arxiv.org/abs/2205.09305

Python 100.00%
domain-adaptation federated-learning out-of-distribution-detection

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fedilc's Issues

Problems during training

Thanks for your excellent work!
When i run main.py, i encounter this problem:
XIO: fatal IO error 25 (Inappropriate ioctl for device) on X server "localhost:10.0"
after 397 requests (397 known processed) with 4 events remaining.

The cause of the issue may be the matplotlib, how to solve that?

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