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Publication search results
found 151 matches
- 2024
- Ming Hu, Yue Cao, Anran Li, Zhiming Li, Chengwei Liu, Tianlin Li, Mingsong Chen, Yang Liu:
FedMut: Generalized Federated Learning via Stochastic Mutation. AAAI 2024: 12528-12537 - Yan Yan, Yuhong Guo:
Federated Partial Label Learning with Local-Adaptive Augmentation and Regularization. AAAI 2024: 16272-16280 - Nimesh Agrawal, Anuj Kumar Sirohi, Sandeep Kumar, Jayadeva:
No Prejudice! Fair Federated Graph Neural Networks for Personalized Recommendation. AAAI 2024: 10775-10783 - Ziyan An, Taylor T. Johnson, Meiyi Ma:
Formal Logic Enabled Personalized Federated Learning through Property Inference. AAAI 2024: 10882-10890 - Caridad Arroyo Arevalo, Sayedeh Leila Noorbakhsh, Yun Dong, Yuan Hong, Binghui Wang:
Task-Agnostic Privacy-Preserving Representation Learning for Federated Learning against Attribute Inference Attacks. AAAI 2024: 10909-10917 - Maryam Badar, Sandipan Sikdar, Wolfgang Nejdl, Marco Fisichella:
FairTrade: Achieving Pareto-Optimal Trade-Offs between Balanced Accuracy and Fairness in Federated Learning. AAAI 2024: 10962-10970 - Sikai Bai, Shuaicheng Li, Weiming Zhuang, Jie Zhang, Kunlin Yang, Jun Hou, Shuai Yi, Shuai Zhang, Junyu Gao:
Combating Data Imbalances in Federated Semi-supervised Learning with Dual Regulators. AAAI 2024: 10989-10997 - Yiyue Chen, Haris Vikalo, Chianing Wang:
Fed-QSSL: A Framework for Personalized Federated Learning under Bitwidth and Data Heterogeneity. AAAI 2024: 11443-11452 - Jiayi Chen, Aidong Zhang:
On Disentanglement of Asymmetrical Knowledge Transfer for Modality-Task Agnostic Federated Learning. AAAI 2024: 11311-11319 - Haokun Chen, Yao Zhang, Denis Krompass, Jindong Gu, Volker Tresp:
FedDAT: An Approach for Foundation Model Finetuning in Multi-Modal Heterogeneous Federated Learning. AAAI 2024: 11285-11293 - Jinqian Chen, Jihua Zhu, Qinghai Zheng, Zhongyu Li, Zhiqiang Tian:
Watch Your Head: Assembling Projection Heads to Save the Reliability of Federated Models. AAAI 2024: 11329-11337 - Shu-Ling Cheng, Chin-Yuan Yeh, Ting-An Chen, Eliana Pastor, Ming-Syan Chen:
FedGCR: Achieving Performance and Fairness for Federated Learning with Distinct Client Types via Group Customization and Reweighting. AAAI 2024: 11498-11506 - Qian Dai, Dong Wei, Hong Liu, Jinghan Sun, Liansheng Wang, Yefeng Zheng:
Federated Modality-Specific Encoders and Multimodal Anchors for Personalized Brain Tumor Segmentation. AAAI 2024: 1445-1453 - Yiqun Diao, Qinbin Li, Bingsheng He:
Exploiting Label Skews in Federated Learning with Model Concatenation. AAAI 2024: 11784-11792 - Eric Enouen, Sebastian Caldas, Mononito Goswami, Artur Dubrawski:
PICSR: Prototype-Informed Cross-Silo Router for Federated Learning (Student Abstract). AAAI 2024: 23482-23483 - Dashan Gao, Sheng Wan, Lixin Fan, Xin Yao, Qiang Yang:
Complementary Knowledge Distillation for Robust and Privacy-Preserving Model Serving in Vertical Federated Learning. AAAI 2024: 19832-19839 - Xuan Gong, Shanglin Li, Yuxiang Bao, Barry Yao, Yawen Huang, Ziyan Wu, Baochang Zhang, Yefeng Zheng, David S. Doermann:
Federated Learning via Input-Output Collaborative Distillation. AAAI 2024: 22058-22066 - Xianjie Guo, Kui Yu, Lin Liu, Jiuyong Li:
FedCSL: A Scalable and Accurate Approach to Federated Causal Structure Learning. AAAI 2024: 12235-12243 - Mohsin Hasan, Guojun Zhang, Kaiyang Guo, Xi Chen, Pascal Poupart:
Calibrated One Round Federated Learning with Bayesian Inference in the Predictive Space. AAAI 2024: 12313-12321 - Xinyuan Ji, Zhaowei Zhu, Wei Xi, Olga Gadyatskaya, Zilong Song, Yong Cai, Yang Liu:
FedFixer: Mitigating Heterogeneous Label Noise in Federated Learning. AAAI 2024: 12830-12838 - Yongzhe Jia, Xuyun Zhang, Amin Beheshti, Wanchun Dou:
FedLPS: Heterogeneous Federated Learning for Multiple Tasks with Local Parameter Sharing. AAAI 2024: 12848-12856 - Yang Jiao, Kai Yang, Tiancheng Wu, Chengtao Jian, Jianwei Huang:
Provably Convergent Federated Trilevel Learning. AAAI 2024: 12928-12937 - Kun Jin, Tongxin Yin, Zhongzhu Chen, Zeyu Sun, Xueru Zhang, Yang Liu, Mingyan Liu:
Performative Federated Learning: A Solution to Model-Dependent and Heterogeneous Distribution Shifts. AAAI 2024: 12938-12946 - Kyoung Jun Lee, Baek Jeong, Suhyeon Kim, Dam Kim, Dongju Park:
General Commerce Intelligence: Glocally Federated NLP-Based Engine for Privacy-Preserving and Sustainable Personalized Services of Multi-Merchants. AAAI 2024: 22752-22760 - Jingtao Li, Xing Chen, Li Yang, Adnan Siraj Rakin, Deliang Fan, Chaitali Chakrabarti:
EMGAN: Early-Mix-GAN on Extracting Server-Side Model in Split Federated Learning. AAAI 2024: 13545-13553 - Jichang Li, Guanbin Li, Hui Cheng, Zicheng Liao, Yizhou Yu:
FedDiv: Collaborative Noise Filtering for Federated Learning with Noisy Labels. AAAI 2024: 3118-3126 - Bao Li, Zhenyu Liu, Lizhi Shao, Bensheng Qiu, Hong Bu, Jie Tian:
Point Transformer with Federated Learning for Predicting Breast Cancer HER2 Status from Hematoxylin and Eosin-Stained Whole Slide Images. AAAI 2024: 3000-3008 - Jian Li, Yong Liu, Weiping Wang:
FedNS: A Fast Sketching Newton-Type Algorithm for Federated Learning. AAAI 2024: 13509-13517 - Wenjie Li, Qifan Song, Jean Honorio, Guang Lin:
Federated X-armed Bandit. AAAI 2024: 13628-13636 - Mingrui Liu:
Algorithmic Foundation of Federated Learning with Sequential Data. AAAI 2024: 22675
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