27 citations · 34 across the 6 of their papers we have counts for
7 papers
ABC: Numerical Data Collection under Local Differential Privacy without Prior Knowledge
Incheol Baek, Hyungbin Kim, Yon Dohn Chung
Local Differential Privacy (LDP) provides strong privacy guarantees for collecting numerical data. A fundamental challenge, however, is that existing LDP mechanisms require a prede…
Federated Learning with Feedback Alignment
Incheol Baek, Hyungbin Kim, Minseo Kim +1
Federated Learning (FL) enables collaborative training across multiple clients while preserving data privacy, yet it struggles with data heterogeneity, where clients' data are not…
N-output Mechanism: Estimating Statistical Information from Numerical Data under Local Differential Privacy
Incheol Baek, Yon Dohn Chung
Local Differential Privacy (LDP) addresses significant privacy concerns in sensitive data collection. In this work, we focus on numerical data collection under LDP, targeting a sig…
Decoupled Contrastive Learning for Federated Learning
Hyungbin Kim, Incheol Baek, Yon Dohn Chung
Federated learning is a distributed machine learning paradigm that allows multiple participants to train a shared model by exchanging model updates instead of their raw data. Howev…
Multi-Dimensional Data Compression and Query Processing in Array Databases
Minsoo Kim, Hyubjin Lee, Yon Dohn Chung
In recent times, the production of multidimensional data in various domains and their storage in array databases has witnessed a sharp increase; this rapid growth in data volumes n…
Multi-object Tracking with an Adaptive Generalized Labeled Multi-Bernoulli Filter
Cong-Thanh Do, Tran Thien Dat Nguyen, Diluka Moratuwage +2
The challenges in multi-object tracking mainly stem from the random variations in the cardinality and states of objects during the tracking process. Further, the information on loc…
Successive Point-of-Interest Recommendation with Local Differential Privacy
Jong Seon Kim, Jong Wook Kim, Yon Dohn Chung
A point-of-interest (POI) recommendation system performs an important role in location-based services because it can help people to explore new locations and promote advertisers to…