v1v2v3 (latest)

CalFAT: Calibrated Federated Adversarial Training with Label Skewness

Neural Information Processing Systems (NeurIPS), 2022

30 May 2022

Papers citing "CalFAT: Calibrated Federated Adversarial Training with Label Skewness"

20 / 20 papers shown

Title
Lorica: A Synergistic Fine-Tuning Framework for Advancing Personalized Adversarial Robustness Tianyu Qi Lei Xue Yufeng Zhan Xiaobo Ma AAML 356 0 0 04 Jun 2025
Decentralized and Robust Privacy-Preserving Model Using Blockchain-Enabled Federated Deep Learning in Intelligent EnterprisesApplied Soft Computing (Appl. Soft Comput.), 2024 Reza Fotohi Fereidoon Shams Aliee Bahar Farahani FedML 306 19 0 18 Feb 2025
Central limit theorems for vector-valued composite functionals with smoothing and applicationsAnnals of the Institute of Statistical Mathematics (AISM), 2024 Huhui Chen Darinka Dentcheva Yang Lin Gregory J. Stock 266 4 0 26 Dec 2024
Adversarial Training: A Survey Mengnan Zhao Lihe Zhang Jingwen Ye Huchuan Lu Baocai Yin Xinchao Wang AAML 249 10 0 19 Oct 2024
Addressing Skewed Heterogeneity via Federated Prototype Rectification with PersonalizationIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2024 Shunxin Guo Hongsong Wang Shuxia Lin Zhiqiang Kou Xin Geng FedML 316 6 0 15 Aug 2024
Logit Calibration and Feature Contrast for Robust Federated Learning on Non-IID DataIEEE Transactions on Network Science and Engineering (TNSE), 2024 Yu Qiao Chaoning Zhang Apurba Adhikary Choong Seon Hong FedML 157 11 0 10 Apr 2024
Towards Robust Federated Learning via Logits Calibration on Non-IID Data Yu Qiao Apurba Adhikary Chaoning Zhang Choong Seon Hong FedML 157 11 0 05 Mar 2024
Not all Minorities are Equal: Empty-Class-Aware Distillation for Heterogeneous Federated LearningAAAI Conference on Artificial Intelligence (AAAI), 2024 Kuangpu Guo Yuhe Ding Jian Liang Ran He Zilei Wang Tieniu Tan FedML 243 3 0 04 Jan 2024
When Foundation Model Meets Federated Learning: Motivations, Challenges, and Future Directions Weiming Zhuang Chen Chen Lingjuan Lyu Chong Chen Yaochu Jin Lingjuan Lyu AIFin AI4CE 609 119 0 27 Jun 2023
FedWon: Triumphing Multi-domain Federated Learning Without NormalizationInternational Conference on Learning Representations (ICLR), 2023 Weiming Zhuang Lingjuan Lyu 202 12 0 09 Jun 2023
Delving into the Adversarial Robustness of Federated LearningAAAI Conference on Artificial Intelligence (AAAI), 2023 Jie M. Zhang Yue Liu Chen Chen Lingjuan Lyu Shuang Wu Shouhong Ding Chao Wu FedML 194 54 0 19 Feb 2023
Byzantine-Robust Learning on Heterogeneous Data via Gradient SplittingInternational Conference on Machine Learning (ICML), 2023 Yuchen Liu Chen Chen Lingjuan Lyu Fangzhao Wu Sai Wu Gang Chen 209 19 0 13 Feb 2023
FedCC: Robust Federated Learning against Model Poisoning Attacks Hyejun Jeong Hamin Son Seohu Lee Jayun Hyun Tai-Myoung Chung FedML 349 11 0 05 Dec 2022
Federated Learning on Non-IID Graphs via Structural Knowledge SharingAAAI Conference on Artificial Intelligence (AAAI), 2022 Yue Tan Yixin Liu Guodong Long Jing Jiang Qinghua Lu Chengqi Zhang FedML 254 191 0 23 Nov 2022
Outsourcing Training without Uploading Data via Efficient Collaborative Open-Source SamplingNeural Information Processing Systems (NeurIPS), 2022 Junyuan Hong Lingjuan Lyu Jiayu Zhou Michael Spranger SyDa 186 8 0 23 Oct 2022
Federated Learning from Pre-Trained Models: A Contrastive Learning ApproachNeural Information Processing Systems (NeurIPS), 2022 Yue Tan Guodong Long Jie Ma Lu Liu Tianyi Zhou Jing Jiang FedML 244 242 0 21 Sep 2022
FRAug: Tackling Federated Learning with Non-IID Features via Representation AugmentationIEEE International Conference on Computer Vision (ICCV), 2022 Haokun Chen A. Frikha Denis Krompass Jindong Gu Volker Tresp OOD 264 43 0 30 May 2022
Federated Robustness Propagation: Sharing Robustness in Heterogeneous Federated LearningAAAI Conference on Artificial Intelligence (AAAI), 2021 Junyuan Hong Haotao Wang Zinan Lin Jiayu Zhou FedML 126 25 0 18 Jun 2021
Emerging Trends in Federated Learning: From Model Fusion to Federated X LearningInternational Journal of Machine Learning and Cybernetics (IJMLC), 2021 Shaoxiong Ji Yue Tan Teemu Saravirta Zhiqin Yang Yixin Liu Lauri Vasankari Shirui Pan Guodong Long A. Walid FedML 482 109 0 25 Feb 2021
Privacy and Robustness in Federated Learning: Attacks and Defenses Lingjuan Lyu Han Yu Jiabo He Chen Chen Lichao Sun Jun Zhao Qiang Yang Philip S. Yu FedML 507 460 0 07 Dec 2020