Papers citing "Advances and Open Problems in Federated Learning"

50 / 696 papers shown

Title
Randomized Block-Coordinate Optimistic Gradient Algorithms for Root-Finding Problems Quoc Tran-Dinh Yang Luo 89 6 0 28 Jan 2025
FedTLU: Federated Learning with Targeted Layer Updates Jong-Ik Park Carlee Joe-Wong FedML 84 0 0 28 Jan 2025
Scalable Decentralized Learning with Teleportation Yuki Takezawa Sebastian U. Stich 54 1 0 25 Jan 2025
FedPref: Federated Learning Across Heterogeneous Multi-objective Preferences Maria Hartmann Grégoire Danoy Pascal Bouvry FedML 35 0 0 23 Jan 2025
FedCLEAN: byzantine defense by CLustering Errors of Activation maps in Non-IID federated learning environments Mehdi Ben Ghali R. Bellafqira G. Coatrieux AAML FedML 41 0 0 21 Jan 2025
Enhancing Privacy in the Early Detection of Sexual Predators Through Federated Learning and Differential Privacy Khaoula Chehbouni Martine De Cock Gilles Caporossi Afaf Taik Reihaneh Rabbany G. Farnadi 73 0 0 21 Jan 2025
Federated Learning with Sample-level Client Drift Mitigation Haoran Xu Jiaze Li Wanyi Wu Hao Ren FedML 41 0 0 20 Jan 2025
LegalGuardian: A Privacy-Preserving Framework for Secure Integration of Large Language Models in Legal Practice M. Mikail Demir Hakan T. Otal M. A. Canbaz AILaw 28 0 0 19 Jan 2025
PeFLL: Personalized Federated Learning by Learning to Learn Jonathan Scott Hossein Zakerinia Christoph H. Lampert FedML 85 7 0 17 Jan 2025
SafeSplit: A Novel Defense Against Client-Side Backdoor Attacks in Split Learning (Full Version) Phillip Rieger Alessandro Pegoraro Kavita Kumari Tigist Abera Jonathan Knauer A. Sadeghi AAML 35 2 0 11 Jan 2025
Differentially Private Online Federated Learning with Correlated Noise Jiaojiao Zhang Linglingzhi Zhu Mikael Johansson FedML 49 1 0 10 Jan 2025
FedSA: A Unified Representation Learning via Semantic Anchors for Prototype-based Federated Learning Yanbing Zhou Xiangmou Qu Chenlong You Jiyang Zhou Jingyue Tang Xin Zheng Chunmao Cai Yingbo Wu FedML 50 1 0 09 Jan 2025
Uncertainty-Aware Label Refinement on Hypergraphs for Personalized Federated Facial Expression Recognition Hu Ding Yan Yan Yang Lu Jing-Hao Xue Hanzi Wang 28 0 0 03 Jan 2025
Federated Heavy Hitter Analytics with Local Differential Privacy Yuemin Zhang Qingqing Ye Haibo Hu FedML 82 1 0 03 Jan 2025
NET-SA: An Efficient Secure Aggregation Architecture Based on In-Network Computing Qingqing Ren Wen Wang Shuyong Zhu Zhiyuan Wu Yujun Zhang 33 0 0 02 Jan 2025
Enhancing Privacy in Federated Learning through Quantum Teleportation Integration Koffka Khan FedML 30 0 0 31 Dec 2024
Election of Collaborators via Reinforcement Learning for Federated Brain Tumor Segmentation Muhammad Irfan Khan Elina Kontio Suleiman A. Khan Mojtaba Jafaritadi FedML 39 0 0 31 Dec 2024
Disentangling data distribution for Federated Learning Xinyuan Zhao Hanlin Gu Lixin Fan Qiang Yang Yuxing Han OOD FedML 39 0 0 31 Dec 2024
SoK: Decentralized AI (DeAI) Zhipeng Wang Rui Sun Elizabeth Lui Vatsal Shah Xihan Xiong Jiahao Sun Davide Crapis William Knottenbelt 96 1 0 26 Nov 2024
Attribute Inference Attacks for Federated Regression Tasks Francesco Diana Othmane Marfoq Chuan Xu Giovanni Neglia F. Giroire Eoin Thomas AAML 121 0 0 19 Nov 2024
Personalized Hierarchical Split Federated Learning in Wireless Networks Md Ferdous Pervej Andreas F. Molisch 26 0 0 09 Nov 2024
Masked Autoencoders are Parameter-Efficient Federated Continual Learners Yuchen He Xiangfeng Wang CLL FedML 31 0 0 04 Nov 2024
FPPL: An Efficient and Non-IID Robust Federated Continual Learning Framework Yuchen He Chuyun Shen Xiangfeng Wang Bo Jin FedML 23 1 0 04 Nov 2024
Federated Learning with Relative Fairness Shogo H. Nakakita Tatsuya Kaneko Shinya Takamaeda-Yamazaki Masaaki Imaizumi FedML 21 2 0 02 Nov 2024
Federated Communication-Efficient Multi-Objective Optimization Baris Askin Pranay Sharma Gauri Joshi Carlee Joe-Wong FedML 62 1 0 21 Oct 2024
Conformal Prediction for Federated Graph Neural Networks with Missing Neighbor Information Ömer Faruk Akgül R. Kannan Viktor Prasanna FedML 18 0 0 17 Oct 2024
Backdoor Attack on Vertical Federated Graph Neural Network Learning Jirui Yang Peng Chen Zhihui Lu Ruijun Deng Qiang Duan Jianping Zeng AAML FedML 81 0 0 15 Oct 2024
Data Quality Control in Federated Instruction-tuning of Large Language Models Yaxin Du Rui Ye Fengting Yuchi W. Zhao Jingjing Qu Y. Wang Siheng Chen ALM FedML 45 0 0 15 Oct 2024
Mixture of Experts Made Personalized: Federated Prompt Learning for Vision-Language Models Jun Luo C. L. P. Chen Shandong Wu FedML VLM MoE 36 3 0 14 Oct 2024
Scalable and Resource-Efficient Second-Order Federated Learning via Over-the-Air Aggregation Abdulmomen Ghalkha Chaouki Ben Issaid Mehdi Bennis 19 0 0 10 Oct 2024
Benchmarking Data Heterogeneity Evaluation Approaches for Personalized Federated Learning Zhilong Li Xiaohu Wu Xiaoli Tang Tiantian He Yew-Soon Ong Mengmeng Chen Qiqi Liu Qicheng Lao Han Yu FedML 19 1 0 09 Oct 2024
OledFL: Unleashing the Potential of Decentralized Federated Learning via Opposite Lookahead Enhancement Qinglun Li Miao Zhang Mengzhu Wang Quanjun Yin Li Shen OODD FedML 14 0 0 09 Oct 2024
FRIDA: Free-Rider Detection using Privacy Attacks Pol G. Recasens Ádám Horváth Alberto Gutierrez-Torre Jordi Torres Josep Ll. Berral Balázs Pejó FedML 24 0 0 07 Oct 2024
Influence-oriented Personalized Federated Learning Yue Tan Guodong Long Jing Jiang Chengqi Zhang FedML 19 0 0 04 Oct 2024
FedPeWS: Personalized Warmup via Subnetworks for Enhanced Heterogeneous Federated Learning Nurbek Tastan Samuel Horváth Martin Takáč Karthik Nandakumar FedML 57 0 0 03 Oct 2024
Selective Aggregation for Low-Rank Adaptation in Federated Learning Pengxin Guo Shuang Zeng Y. Wang Huijie Fan Feifei Wang Liangqiong Qu FedML 36 8 0 02 Oct 2024
Byzantine-Robust Aggregation for Securing Decentralized Federated Learning Diego Cajaraville-Aboy Ana Fernández-Vilas R. Redondo Manuel Fernández-Veiga 18 2 0 26 Sep 2024
Peer-to-Peer Learning Dynamics of Wide Neural Networks Shreyas Chaudhari Srinivasa Pranav Emile Anand José M. F. Moura 35 3 0 23 Sep 2024
Balancing Label Imbalance in Federated Environments Using Only Mixup and Artificially-Labeled Noise Kyle Rui Sang Tahseen Rabbani Furong Huang FedML 29 0 0 20 Sep 2024
Federated Learning with Label-Masking Distillation Jianghu Lu Shikun Li Kexin Bao Pengju Wang Zhenxing Qian Shiming Ge FedML 32 10 0 20 Sep 2024
Advances in APPFL: A Comprehensive and Extensible Federated Learning Framework Zilinghan Li Shilan He Ze Yang Minseok Ryu Kibaek Kim Ravi K. Madduri FedML 48 5 0 17 Sep 2024
On the effects of similarity metrics in decentralized deep learning under distributional shift Edvin Listo Zec Tom Hagander Eric Ihre-Thomason Sarunas Girdzijauskas FedML 34 0 0 16 Sep 2024
Federated Learning in Adversarial Environments: Testbed Design and Poisoning Resilience in Cybersecurity Hao Jian Huang Bekzod Iskandarov Mizanur Rahman FedML 47 1 0 15 Sep 2024
Advancing Hybrid Defense for Byzantine Attacks in Federated Learning Kai Yue Richeng Jin Chau-Wai Wong H. Dai AAML 26 0 0 10 Sep 2024
pFedGPA: Diffusion-based Generative Parameter Aggregation for Personalized Federated Learning Jiahao Lai J. Li Jian Xu Yanru Wu Boshi Tang Siqi Chen Yongfeng Huang Wenbo Ding Yang Li FedML 73 0 0 09 Sep 2024
Learning Privacy-Preserving Student Networks via Discriminative-Generative Distillation Shiming Ge Bochao Liu Pengju Wang Yong Li Dan Zeng FedML 37 9 0 04 Sep 2024
Buffer-based Gradient Projection for Continual Federated Learning Shenghong Dai Jy-yong Sohn Yicong Chen S. Alam Ravikumar Balakrishnan Suman Banerjee N. Himayat Kangwook Lee FedML 63 2 0 03 Sep 2024
The Key of Parameter Skew in Federated Learning Sifan Wang Junfeng Liao Ye Yuan Riquan Zhang FedML 31 0 0 21 Aug 2024
A Hassle-free Algorithm for Private Learning in Practice: Don't Use Tree Aggregation, Use BLTs H. B. McMahan Zheng Xu Yanxiang Zhang FedML 32 5 0 16 Aug 2024
FedQUIT: On-Device Federated Unlearning via a Quasi-Competent Virtual Teacher Alessio Mora Lorenzo Valerio Paolo Bellavista A. Passarella FedML MU 42 2 0 14 Aug 2024