2022 Volume 13 Issue 4
- Anthology ID:
- 2022.tist_journal-ir0anthology0volumeA13A4
- Year:
- 2022
Introduction to the Special Issue on the Federated Learning: Algorithms, Systems, and Applications: Part 1
Qiang Yang
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Yongxin Tong
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Yang Liu
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Yangqiu Song
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Hao Peng
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Boi Faltings
Toward Scalable and Privacy-preserving Deep Neural Network via Algorithmic-Cryptographic Co-design
Jun Zhou
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Longfei Zheng
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Chaochao Chen
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Yan Wang
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Xiaolin Zheng
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Bingzhe Wu
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Cen Chen
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Li Wang
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Jianwei Yin
Federated Learning for Healthcare: Systematic Review and Architecture Proposal
Rodolfo Stoffel Antunes
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Cristiano André da Costa
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Arne Küderle
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Imrana Abdullahi Yari
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Björn M. Eskofier
Federated Social Recommendation with Graph Neural Network
Zhiwei Liu
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Liangwei Yang
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Ziwei Fan
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Hao Peng
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Philip S. Yu
Federated Dynamic Graph Neural Networks with Secure Aggregation for Video-based Distributed Surveillance
Meng Jiang
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Taeho Jung
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Ryan Karl
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Tong Zhao
Dynamic-Aware Federated Learning for Face Forgery Video Detection
Ziheng Hu
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Hongtao Xie
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Lingyun Yu
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Xingyu Gao
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Zhihua Shang
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Yongdong Zhang
Improving Availability of Vertical Federated Learning: Relaxing Inference on Non-overlapping Data
Zhenghang Ren
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Liu Yang
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Kai Chen
Efficient Federated Matrix Factorization Against Inference Attacks
Di Chai
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Leye Wang
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Kai Chen
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Qiang Yang
GTG-Shapley: Efficient and Accurate Participant Contribution Evaluation in Federated Learning
Zelei Liu
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Yuanyuan Chen
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Han Yu
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Yang Liu
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Lizhen Cui
Federated Multi-view Learning for Private Medical Data Integration and Analysis
Sicong Che
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Zhaoming Kong
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Hao Peng
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Lichao Sun
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Alex D. Leow
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Yong Chen
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Lifang He
FedCTR: Federated Native Ad CTR Prediction with Cross-platform User Behavior Data
Chuhan Wu
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Fangzhao Wu
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Lingjuan Lyu
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Yongfeng Huang
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Xing Xie
The OARF Benchmark Suite: Characterization and Implications for Federated Learning Systems
Sixu Hu
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Yuan Li
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Xu Liu
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Qinbin Li
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Zhaomin Wu
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Bingsheng He
FedCVT: Semi-supervised Vertical Federated Learning with Cross-view Training
Yan Kang
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Yang Liu
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Xinle Liang
GRNN: Generative Regression Neural Network - A Data Leakage Attack for Federated Learning
Hanchi Ren
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Jingjing Deng
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Xianghua Xie
FedBERT: When Federated Learning Meets Pre-training
Yuanyishu Tian
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Yao Wan
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Lingjuan Lyu
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Dezhong Yao
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Hai Jin
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Lichao Sun
Communication-Efficient Federated Learning with Adaptive Quantization
Yuzhu Mao
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Zihao Zhao
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Guangfeng Yan
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Yang Liu
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Tian Lan
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Linqi Song
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Wenbo Ding
Federated Learning for Personalized Humor Recognition
Xu Guo
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Han Yu
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Boyang Li
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Hao Wang
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Pengwei Xing
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Siwei Feng
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Zaiqing Nie
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Chunyan Miao