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08/17/2023
Joint Local Relational Augmentation and Global Nash Equilibrium for Federated Learning with Non-IID Data
Federated learning (FL) is a distributed machine learning paradigm that ...
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08/07/2023
Bridging Trustworthiness and Open-World Learning: An Exploratory Neural Approach for Enhancing Interpretability, Generalization, and Robustness
As researchers strive to narrow the gap between machine intelligence and...
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07/26/2023
HyperFed: Hyperbolic Prototypes Exploration with Consistent Aggregation for Non-IID Data in Federated Learning
Federated learning (FL) collaboratively models user data in a decentrali...
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04/19/2022
Partial Relaxed Optimal Transport for Denoised Recommendation
The interaction data used by recommender systems (RSs) inevitably includ...
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02/17/2022
Multi-Modal Fusion in Contact-Rich Precise Tasks via Hierarchical Policy Learning
Combined visual and force feedback play an essential role in contact-ric...
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03/27/2021
Multi-Facet Recommender Networks with Spherical Optimization
Implicit feedback is widely explored by modern recommender systems. Sinc...
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08/26/2018