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05/02/2023
DRPT: Disentangled and Recurrent Prompt Tuning for Compositional Zero-Shot Learning
Compositional Zero-shot Learning (CZSL) aims to recognize novel concepts...
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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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07/16/2022
A Survey on Collaborative DNN Inference for Edge Intelligence
With the vigorous development of artificial intelligence (AI), the intel...
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06/17/2022
PICO: Pipeline Inference Framework for Versatile CNNs on Diverse Mobile Devices
Recent researches in artificial intelligence have proposed versatile con...
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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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11/04/2021
Parameterized Knowledge Transfer for Personalized Federated Learning
In recent years, personalized federated learning (pFL) has attracted inc...
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04/15/2021
