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03/10/2023
Zone-based Federated Learning for Mobile Sensing Data
Mobile apps, such as mHealth and wellness applications, can benefit from...
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12/20/2022
Generation-Augmented Query Expansion For Code Retrieval
Pre-trained language models have achieved promising success in code retr...
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11/28/2022
Towards Reliable Item Sampling for Recommendation Evaluation
Since Rendle and Krichene argued that commonly used sampling-based evalu...
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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...
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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...
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11/17/2021
FLSys: Toward an Open Ecosystem for Federated Learning Mobile Apps
This paper presents the design, implementation, and evaluation of FLSys,...
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06/20/2021
On Sampling Top-K Recommendation Evaluation
Recently, Rendle has warned that the use of sampling-based top-k metrics...
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05/27/2021
Towards a Better Understanding of Linear Models for Recommendation
Recently, linear regression models, such as EASE and SLIM, have shown to...
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03/02/2021
On Estimating Recommendation Evaluation Metrics under Sampling
Since the recent study (Krichene and Rendle 2020) done by Krichene and R...
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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...
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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)...
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03/23/2019