research
∙
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...
share
research
∙
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 ...
research
∙
07/01/2023
FedCP: Separating Feature Information for Personalized Federated Learning via Conditional Policy
Recently, personalized federated learning (pFL) has attracted increasing...
research
∙
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...
research
∙
12/02/2022
FedALA: Adaptive Local Aggregation for Personalized Federated Learning
A key challenge in federated learning (FL) is the statistical heterogene...
research
∙
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...
research
∙
11/08/2019
A Novel Sybil Attack Detection Scheme Based on Edge Computing for Mobile IoT Environment
Internet of things (IoT) connects all items to the Internet through info...
research
∙
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...
research
∙
04/27/2019
