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Publication search results
found 46 matches
- 2023
- Xinyu Fu, Irwin King:
FedHGN: A Federated Framework for Heterogeneous Graph Neural Networks. IJCAI 2023: 3705-3713 - Yuanyuan Chen, Zichen Chen, Pengcheng Wu, Han Yu:
FedOBD: Opportunistic Block Dropout for Efficiently Training Large-scale Neural Networks through Federated Learning. IJCAI 2023: 3541-3549 - Shengchao Chen, Guodong Long, Tao Shen, Jing Jiang:
Prompt Federated Learning for Weather Forecasting: Toward Foundation Models on Meteorological Data. IJCAI 2023: 3532-3540 - Radu Ciucanu, Pascal Lafourcade, Gaël Marcadet, Marta Soare:
SAMBA: A Generic Framework for Secure Federated Multi-Armed Bandits (Extended Abstract). IJCAI 2023: 6863-6867 - Hanlin Gu, Jiahuan Luo, Yan Kang, Lixin Fan, Qiang Yang:
FedPass: Privacy-Preserving Vertical Federated Deep Learning with Adaptive Obfuscation. IJCAI 2023: 3759-3767 - Kun Guo, Yutong Fang, Qingqing Huang, Yuting Liang, Ziyao Zhang, Wenyu He, Liu Yang, Kai Chen, Ximeng Liu, Wenzhong Guo:
Globally Consistent Federated Graph Autoencoder for Non-IID Graphs. IJCAI 2023: 3768-3776 - Wenke Huang, Guancheng Wan, Mang Ye, Bo Du:
Federated Graph Semantic and Structural Learning. IJCAI 2023: 3830-3838 - Xinting Liao, Weiming Liu, Chaochao Chen, Pengyang Zhou, Huabin Zhu, Yanchao Tan, Jun Wang, Yue Qi:
HyperFed: Hyperbolic Prototypes Exploration with Consistent Aggregation for Non-IID Data in Federated Learning. IJCAI 2023: 3957-3965 - Weiming Liu, Chaochao Chen, Xinting Liao, Mengling Hu, Jianwei Yin, Yanchao Tan, Longfei Zheng:
Federated Probabilistic Preference Distribution Modelling with Compactness Co-Clustering for Privacy-Preserving Multi-Domain Recommendation. IJCAI 2023: 2206-2214 - Chenghao Liu, Xiaoyang Qu, Jianzong Wang, Jing Xiao:
FedET: A Communication-Efficient Federated Class-Incremental Learning Framework Based on Enhanced Transformer. IJCAI 2023: 3984-3992 - Jiahao Liu, Jiang Wu, Jinyu Chen, Miao Hu, Yipeng Zhou, Di Wu:
FedDWA: Personalized Federated Learning with Dynamic Weight Adjustment. IJCAI 2023: 3993-4001 - Tao Qi, Fangzhao Wu, Lingjuan Lyu, Yongfeng Huang, Xing Xie:
FedSampling: A Better Sampling Strategy for Federated Learning. IJCAI 2023: 4154-4162 - Behnaz Soltani, Yipeng Zhou, Venus Haghighi, John C. S. Lui:
A Survey of Federated Evaluation in Federated Learning. IJCAI 2023: 6769-6777 - Xiaoli Tang, Han Yu:
Competitive-Cooperative Multi-Agent Reinforcement Learning for Auction-based Federated Learning. IJCAI 2023: 4262-4270 - Xin'ao Wang, Huan Li, Ke Chen, Lidan Shou:
FedBFPT: An Efficient Federated Learning Framework for Bert Further Pre-training. IJCAI 2023: 4344-4352 - Nannan Wu, Li Yu, Xuefeng Jiang, Kwang-Ting Cheng, Zengqiang Yan:
FedNoRo: Towards Noise-Robust Federated Learning by Addressing Class Imbalance and Label Noise Heterogeneity. IJCAI 2023: 4424-4432 - Yunchao Yang, Yipeng Zhou, Miao Hu, Di Wu, Quan Z. Sheng:
BARA: Efficient Incentive Mechanism with Online Reward Budget Allocation in Cross-Silo Federated Learning. IJCAI 2023: 4478-4485 - Chunxu Zhang, Guodong Long, Tianyi Zhou, Peng Yan, Zijian Zhang, Chengqi Zhang, Bo Yang:
Dual Personalization on Federated Recommendation. IJCAI 2023: 4558-4566 - Hangtao Zhang, Zeming Yao, Leo Yu Zhang, Shengshan Hu, Chao Chen, Alan Wee-Chung Liew, Zhetao Li:
Denial-of-Service or Fine-Grained Control: Towards Flexible Model Poisoning Attacks on Federated Learning. IJCAI 2023: 4567-4575 - 2022
- Chaochao Chen, Jun Zhou, Longfei Zheng, Huiwen Wu, Lingjuan Lyu, Jia Wu, Bingzhe Wu, Ziqi Liu, Li Wang, Xiaolin Zheng:
Vertically Federated Graph Neural Network for Privacy-Preserving Node Classification. IJCAI 2022: 1959-1965 - Jun Luo, Shandong Wu:
Adapt to Adaptation: Learning Personalization for Cross-Silo Federated Learning. IJCAI 2022: 2166-2173 - Mingyang Chen, Wen Zhang, Zhen Yao, Xiangnan Chen, Mengxiao Ding, Fei Huang, Huajun Chen:
Meta-Learning Based Knowledge Extrapolation for Knowledge Graphs in the Federated Setting. IJCAI 2022: 1966-1972 - Fengwen Chen, Guodong Long, Zonghan Wu, Tianyi Zhou, Jing Jiang:
Personalized Federated Learning With a Graph. IJCAI 2022: 2575-2582 - Yae Jee Cho, Andre Manoel, Gauri Joshi, Robert Sim, Dimitrios Dimitriadis:
Heterogeneous Ensemble Knowledge Transfer for Training Large Models in Federated Learning. IJCAI 2022: 2881-2887 - Chenyou Fan, Junjie Hu, Jianwei Huang:
Private Semi-Supervised Federated Learning. IJCAI 2022: 2009-2015 - Yuhang Ma, Zhongle Xie, Jue Wang, Ke Chen, Lidan Shou:
Continual Federated Learning Based on Knowledge Distillation. IJCAI 2022: 2182-2188 - Dazhong Rong, Qinming He, Jianhai Chen:
Poisoning Deep Learning Based Recommender Model in Federated Learning Scenarios. IJCAI 2022: 2204-2210 - Xinyi Shang, Yang Lu, Gang Huang, Hanzi Wang:
Federated Learning on Heterogeneous and Long-Tailed Data via Classifier Re-Training with Federated Features. IJCAI 2022: 2218-2224 - Qiang Shen, Haotian Feng, Rui Song, Stefano Teso, Fausto Giunchiglia, Hao Xu:
Federated Multi-Task Attention for Cross-Individual Human Activity Recognition. IJCAI 2022: 3423-3429 - Xueyang Tang, Song Guo, Jingcai Guo:
Personalized Federated Learning with Contextualized Generalization. IJCAI 2022: 2241-2247
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