research
∙
03/10/2023
Zone-based Federated Learning for Mobile Sensing Data
Mobile apps, such as mHealth and wellness applications, can benefit from...
share
research
∙
12/20/2022
Generation-Augmented Query Expansion For Code Retrieval
Pre-trained language models have achieved promising success in code retr...
research
∙
11/28/2022
Towards Reliable Item Sampling for Recommendation Evaluation
Since Rendle and Krichene argued that commonly used sampling-based evalu...
research
∙
07/26/2022
Lifelong DP: Consistently Bounded Differential Privacy in Lifelong Machine Learning
In this paper, we show that the process of continually learning new task...
research
∙
01/31/2022
Speed-ANN: Low-Latency and High-Accuracy Nearest Neighbor Search via Intra-Query Parallelism
Nearest Neighbor Search (NNS) has recently drawn a rapid increase of int...
research
∙
11/17/2021
FLSys: Toward an Open Ecosystem for Federated Learning Mobile Apps
This paper presents the design, implementation, and evaluation of FLSys,...
research
∙
06/20/2021
On Sampling Top-K Recommendation Evaluation
Recently, Rendle has warned that the use of sampling-based top-k metrics...
research
∙
05/27/2021
Towards a Better Understanding of Linear Models for Recommendation
Recently, linear regression models, such as EASE and SLIM, have shown to...
research
∙
03/02/2021
On Estimating Recommendation Evaluation Metrics under Sampling
Since the recent study (Krichene and Rendle 2020) done by Krichene and R...
research
∙
06/28/2019
Pruned Landmark Labeling Meets Vertex Centric Computation: A Surprisingly Happy Marriage!
In this paper, we study how the Pruned Landmark Labeling (PPL) algorithm...
research
∙
06/02/2019
Heterogeneous Gaussian Mechanism: Preserving Differential Privacy in Deep Learning with Provable Robustness
In this paper, we propose a novel Heterogeneous Gaussian Mechanism (HGM)...
research
∙
03/23/2019
