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04/24/2023
Universal Domain Adaptation via Compressive Attention Matching
Universal domain adaptation (UniDA) aims to transfer knowledge from the ...
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04/06/2023
Learning Cautiously in Federated Learning with Noisy and Heterogeneous Clients
Federated learning (FL) is a distributed framework for collaboratively t...
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03/17/2023
No Fear of Classifier Biases: Neural Collapse Inspired Federated Learning with Synthetic and Fixed Classifier
Data heterogeneity is an inherent challenge that hinders the performance...
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03/23/2022
Mining Latent Relationships among Clients: Peer-to-peer Federated Learning with Adaptive Neighbor Matching
In federated learning (FL), clients may have diverse objectives, merging...
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10/26/2021
