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20212024
most citedImproving the Model Consistency of Decentralized Federated Learning

11 citations · 21 across the 10 of their papers we have counts for

collaborators

10 papers

cs.LG20242 cited

DEER: A Delay-Resilient Framework for Reinforcement Learning with Variable Delays

Bo Xia, Yilun Kong, Yongzhe Chang +4

Classic reinforcement learning (RL) frequently confronts challenges in tasks involving delays, which cause a mismatch between received observations and subsequent actions, thereby…

cs.CR20244 cited

DisDet: Exploring Detectability of Backdoor Attack on Diffusion Models

Yang Sui, Huy Phan, Jinqi Xiao +6

In the exciting generative AI era, the diffusion model has emerged as a very powerful and widely adopted content generation and editing tool for various data modalities, making the…

cs.CV20231 cited

Hierarchical Point-based Active Learning for Semi-supervised Point Cloud Semantic Segmentation

Zongyi Xu, Bo Yuan, Shanshan Zhao +2

Impressive performance on point cloud semantic segmentation has been achieved by fully-supervised methods with large amounts of labelled data. As it is labour-intensive to acquire…

cs.CL2023

From Adversarial Arms Race to Model-centric Evaluation: Motivating a Unified Automatic Robustness Evaluation Framework

Yangyi Chen, Hongcheng Gao, Ganqu Cui +10

Textual adversarial attacks can discover models' weaknesses by adding semantic-preserved but misleading perturbations to the inputs. The long-lasting adversarial attack-and-defense…

cs.DC2023

Efficient Federated Learning with Enhanced Privacy via Lottery Ticket Pruning in Edge Computing

Yifan Shi, Kang Wei, Li Shen +4

Federated learning (FL) is a collaborative learning paradigm for decentralized private data from mobile terminals (MTs). However, it suffers from issues in terms of communication,…

cs.LG20231 cited

Towards the Flatter Landscape and Better Generalization in Federated Learning under Client-level Differential Privacy

Yifan Shi, Kang Wei, Li Shen +4

To defend the inference attacks and mitigate the sensitive information leakages in Federated Learning (FL), client-level Differentially Private FL (DPFL) is the de-facto standard f…