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08/20/2023
GPFL: Simultaneously Learning Global and Personalized Feature Information for Personalized Federated Learning
Federated Learning (FL) is popular for its privacy-preserving and collab...
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07/21/2023
Chrion: Optimizing Recurrent Neural Network Inference by Collaboratively Utilizing CPUs and GPUs
Deploying deep learning models in cloud clusters provides efficient and ...
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07/01/2023
FedCP: Separating Feature Information for Personalized Federated Learning via Conditional Policy
Recently, personalized federated learning (pFL) has attracted increasing...
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02/09/2023
Adversarial Example Does Good: Preventing Painting Imitation from Diffusion Models via Adversarial Examples
Diffusion Models (DMs) achieve state-of-the-art performance in generativ...
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12/02/2022
FedALA: Adaptive Local Aggregation for Personalized Federated Learning
A key challenge in federated learning (FL) is the statistical heterogene...
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01/24/2022
DuVisor: a User-level Hypervisor Through Delegated Virtualization
Today's mainstream virtualization systems comprise of two cooperative co...
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05/25/2021
Fast and Accurate Scene Parsing via Bi-direction Alignment Networks
In this paper, we propose an effective method for fast and accurate scen...
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04/11/2020
From Quantized DNNs to Quantizable DNNs
This paper proposes Quantizable DNNs, a special type of DNNs that can fl...
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04/27/2019
A Novel Fuzzy Search Approach over Encrypted Data with Improved Accuracy and Efficiency
As cloud computing becomes prevalent in recent years, more and more ente...
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04/27/2019
Better Accuracy and Efficiency for Fuzzy Search on Encrypted Data
As cloud computing becomes prevalent in recent years, more and more ente...
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10/27/2017
Espresso: Brewing Java For More Non-Volatility with Non-volatile Memory
Fast, byte-addressable non-volatile memory (NVM) embraces both near-DRAM...
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11/04/2012