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06/02/2023
On Knowledge Editing in Federated Learning: Perspectives, Challenges, and Future Directions
As Federated Learning (FL) has gained increasing attention, it has becom...
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03/14/2023
DualMix: Unleashing the Potential of Data Augmentation for Online Class-Incremental Learning
Online Class-Incremental (OCI) learning has sparked new approaches to ex...
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11/15/2022
FedTune: A Deep Dive into Efficient Federated Fine-Tuning with Pre-trained Transformers
Federated Learning (FL) is an emerging paradigm that enables distributed...
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11/14/2022
PMR: Prototypical Modal Rebalance for Multimodal Learning
Multimodal learning (MML) aims to jointly exploit the common priors of d...
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11/13/2022
Demystify Self-Attention in Vision Transformers from a Semantic Perspective: Analysis and Application
Self-attention mechanisms, especially multi-head self-attention (MSA), h...
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08/24/2022
PromptFL: Let Federated Participants Cooperatively Learn Prompts Instead of Models – Federated Learning in Age of Foundation Model
Quick global aggregation of effective distributed parameters is crucial ...
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02/27/2022
Vertical Machine Unlearning: Selectively Removing Sensitive Information From Latent Feature Space
Recently, the enactment of privacy regulations has promoted the rise of ...
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10/22/2021
