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IEEE Data Engineering Bulletin, Volume 46
Volume 46, Number 1, March 2023
Letters
- Haixun Wang:
Letter from the Editor-in-Chief. 1 - Murat Kantarcioglu:
Letter from IEEE TCDE Chair. 2 - Yangqiu Song:
Letter from the Special Issue Editor. 3
Opinions
- Murat Kantarcioglu:
A Risk-Aware Paradigm for Privacy-Preserving Machine Learning. 4-8
Special Issue on Federated Machine Learning
- Yongxin Tong, Yuxiang Zeng, Zimu Zhou, Boyi Liu, Yexuan Shi, Shuyuan Li, Ke Xu, Weifeng Lv:
Federated Computing: Query, Learning, and Beyond. 9-26 - Yilun Jin, Yang Liu, Kai Chen, Qiang Tang:
Federated Learning without Full Labels: A Survey. 27-51 - Wang Lu, Xixu Hu, Jindong Wang, Xing Xie:
FedCLIP: Fast Generalization and Personalization for CLIP in Federated Learning. 52-66 - Karthik Prasad, Sayan Ghosh, Graham Cormode, Ilya Mironov, Ashkan Yousefpour, Pierre Stock:
Reconciling Security and Communication Efficiency in Federated Learning. 67-78 - Yeojoon Youn, Bhuvesh Kumar, Jacob D. Abernethy:
Accelerated Federated Optimization with Quantization. 79-123 - Leye Wang, Guanghong Fan, Xiao Han:
Federated Truth Discovery for Mobile Crowdsensing with Privacy-Preserving Trustworthiness Assessment. 124-144 - Meisam Hejazinia, Dzmitry Huba, Ilias Leontiadis, Kiwan Maeng, Mani Malek, Luca Melis, Ilya Mironov, Milad Nasr, Kaikai Wang, Carole-Jean Wu:
Federated Ensemble Learning: Increasing the Capacity of Label Private Recommendation Systems. 145-157 - Xueyang Wu, Di Jiang, Yuanfeng Song, Qian Xu, Qiang Yang:
Enhance Mono-modal Sentiment Classification with Federated Cross-modal Transfer. 158-169 - Holger R. Roth, Yan Cheng, Yuhong Wen, Isaac Yang, Ziyue Xu, Yuan-Ting Hsieh, Kristopher Kersten, Ahmed Harouni, Can Zhao, Kevin Lu, Zhihong Zhang, Wenqi Li, Andriy Myronenko, Dong Yang, Sean Yang, Nicola Rieke, Abood Quraini, Chester Chen, Daguang Xu, Nic Ma, Prerna Dogra, Mona Flores, Andrew Feng:
NVIDIA FLARE: Federated Learning from Simulation to Real-World. 170-184
News: Obituary
- Kyu-Young Whang, Marianne Winslett:
Obituary for Professor Gio Wiederhold. 185
Volume 46, Number 2, June 2023
Letters
- Haixun Wang:
Letter from the Editor-in-Chief. 1 - Kyu-Young Whang:
Letter from the TCDE Service Award Winner. 2-3 - Karthik Subbian:
Letter from the Special Issue Editor. 4
Opinions
- Wang-Chiew Tan:
Unstructured and structured data: Can we have the best of both worlds with large language models? 5-11
Special Issue on Graph Neural Networks
- Jiong Zhu, Yujun Yan, Mark Heimann, Lingxiao Zhao, Leman Akoglu, Danai Koutra:
Heterophily and Graph Neural Networks: Past, Present and Future. 12-34 - Jaykumar Kakkad, Jaspal Jannu, Kartik Sharma, Charu Aggarwal, Sourav Medya:
A Survey on Explainability of Graph Neural Networks. 35-63 - Jialin Chen, Kenza Amara, Junchi Yu, Rex Ying:
Generative Explanation for Graph Neural Network: Methods and Evaluation. 64-79 - Yan Han, Yuning You, Wenqing Zheng, Scott Hoang, Tianxin Wei, Majdi Hassan, Tianlong Chen, Ying Ding, Yang Shen, Zhangyang Wang:
Graph Contrastive Learning: An Odyssey towards Generalizable, Scalable and Principled Representation Learning on Graphs. 80-95 - C. Seshadhri:
Limitations of low dimensional graph embeddings. 96-107 - Yiqi Wang, Yao Ma, Wei Jin, Chaozhuo Li, Charu Aggarwal, Jiliang Tang:
Customized Graph Nerual Networks. 108-125 - Hongyu Ren, Ali Mousavi, Anil Pacaci, Shihabur Rahman Chowdhury, Jason Mohoney, Ihab F. Ilyas, Yunyao Li, Theodoros Rekatsinas:
Fact Ranking over Large-Scale Knowledge Graphs with Reasoning Embedding Models. 126-139 - Tong Zhao, Wei Jin, Yozen Liu, Yingheng Wang, Gang Liu, Stephan Günnemann, Neil Shah, Meng Jiang:
Graph Data Augmentation for Graph Machine Learning: A Survey. 140-165
Volume 46, Number 3, September 2023
Letters
- Haixun Wang:
Letter from the Editor-in-Chief. 1 - Themis Palpanas:
Letter from the Special Issue Editor. 2
Special Issue on High-Dimensional Similarity Search: from Time Series Management Systems to Vector Databases
- Zeyu Wang, Peng Wang, Themis Palpanas, Wei Wang:
Graph- and Tree-based Indexes for High-dimensional Vector Similarity Search: Analyses, Comparisons, and Future Directions. 3-21 - Minjia Zhang, Jie Ren, Zhen Peng, Ruoming Jin, Dong Li, Bin Ren:
iQAN: Fast and Accurate Vector Search with Efficient Intra-Query Parallelism on Multi-Core Architectures. 22-38 - Yao Tian, Ziyang Yue, Ruiyuan Zhang, Xi Zhao, Bolong Zheng, Xiaofang Zhou:
Approximate Nearest Neighbor Search in High Dimensional Vector Databases: Current Research and Future Directions. 39-54 - Yihe Dong, Piotr Indyk, Ilya P. Razenshteyn, Tal Wagner:
Learning Space Partitions for Nearest Neighbor Search. 55-68 - John Paparrizos, Chunwei Liu, Aaron J. Elmore, Michael J. Franklin:
Querying Time-Series Data: A Comprehensive Comparison of Distance Measures. 69-88 - Martin Aumüller, Matteo Ceccarello:
Recent Approaches and Trends in Approximate Nearest Neighbor Search, with Remarks on Benchmarking. 89-105
Volume 46, Number 4, December 2023
Letters
- Haixun Wang:
Letter from the Editor-in-Chief. 1-2 - Xin Luna Dong, Alon Y. Halevy, Shane Moon:
Letter from the Special Issue Editor. 3
Opinions
- Zhifeng Bao, Panagiotis Bouros, Reynold Cheng, Byron Choi, Anton Dignös, Wei Ding, Yixiang Fang, Boyang Han, Jilin Hu, Arijit Khan, Wenqing Lin, Xuemin Lin, Cheng Long, Nikos Mamoulis, Jian Pei, Matthias Renz, Shashi Shekhar, Jieming Shi, Eleni Tzirita Zacharatou, Sibo Wang, Xiao Wang, Xue Wang, Raymond Chi-Wing Wong, Da Yan, Xifeng Yan, Bin Yang, Dezhong Yao, Ce Zhang, Peilin Zhao, Rong Zhu:
A Summary of ICDE 2022 Research Session Panels. 4-17
Special Issue on Personal Information Management
- Ly-Duyen Tran, Cathal Gurrin, Alan F. Smeaton:
Lifelogging As An Extreme Form of Personal Information Management - What Lessons To Learn. 18-29 - Varvara Kalokyri, Alexander Borgida, Amélie Marian:
Episodic Memory Integration of Personal Data in YourDigitalSelf. 30-42 - Prantika Chakraborty, Sudakshina Dutta, Debarshi Kumar Sanyal, Srijoni Majumdar, Partha Pratim Das:
Bringing Order to Chaos: Conceptualizing a Personal Research Knowledge Graph for Scientists. 43-56 - Zhaoxuan Tan, Meng Jiang:
User Modeling in the Era of Large Language Models: Current Research and Future Directions. 57-96 - Dipkamal Bhusal, Sara Rampazzi, Michael Clifford, Nidhi Rastogi:
G-VARS: Towards Personalized Risk Assessments by Analyzing Gun Violence Susceptibility with Personal Knowledge Graphs. 97-114 - Yandong Sun, Yixuan Tang, Anthony K. H. Tung:
QALinkPlus: Text Enrichment with QA data. 115-128
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