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08/18/2023
Breaking the Complexity Barrier in Compositional Minimax Optimization
Compositional minimax optimization is a pivotal yet under-explored chall...
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06/21/2023
Inter-Instance Similarity Modeling for Contrastive Learning
The existing contrastive learning methods widely adopt one-hot instance ...
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06/09/2023
Data-Driven Next-Generation Wireless Networking: Embracing AI for Performance and Security
New network architectures, such as the Internet of Things (IoT), 5G, and...
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12/17/2022
Modeling Global Distribution for Federated Learning with Label Distribution Skew
Federated learning achieves joint training of deep models by connecting ...
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08/16/2022
On the Convergence of Multi-Server Federated Learning with Overlapping Area
Multi-server Federated learning (FL) has been considered as a promising ...
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07/26/2022
Perception-Aware Attack: Creating Adversarial Music via Reverse-Engineering Human Perception
Recently, adversarial machine learning attacks have posed serious securi...
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06/06/2022
Generalized Federated Learning via Sharpness Aware Minimization
Federated Learning (FL) is a promising framework for performing privacy-...
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01/08/2022
LoMar: A Local Defense Against Poisoning Attack on Federated Learning
Federated learning (FL) provides a high efficient decentralized machine ...
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12/22/2021
FedLGA: Towards System-Heterogeneity of Federated Learning via Local Gradient Approximation
Federated Learning (FL) is a decentralized machine learning architecture...
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12/02/2021
Context-Aware Online Client Selection for Hierarchical Federated Learning
Federated Learning (FL) has been considered as an appealing framework to...
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06/14/2021
How to Test the Randomness from the Wireless Channel for Security?
We revisit the traditional framework of wireless secret key generation, ...
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02/12/2021
Stragglers Are Not Disaster: A Hybrid Federated Learning Algorithm with Delayed Gradients
Federated learning (FL) is a new machine learning framework which trains...
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01/09/2020
D-GCCA: Decomposition-based Generalized Canonical Correlation Analysis for Multiple High-dimensional Datasets
Modern biomedical studies often collect multiple types of high-dimension...
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12/20/2019