Papers citing "Advances and Open Problems in Federated Learning"

50 / 761 papers shown

Title
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 71 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
On the Convergence of a Federated Expectation-Maximization Algorithm Zhixu Tao Rajita Chandak Sanjeev R. Kulkarni FedML 30 0 0 11 Aug 2024
LiD-FL: Towards List-Decodable Federated Learning Hong Liu Liren Shan Han Bao Ronghui You Yuhao Yi Jiancheng Lv FedML 33 0 0 09 Aug 2024
Federated Learning as a Service for Hierarchical Edge Networks with Heterogeneous Models Wentao Gao Omid Tavallaie Shuaijun Chen Albert Zomaya FedML 25 3 0 30 Jul 2024
Improved Bounds for Pure Private Agnostic Learning: Item-Level and User-Level Privacy Bo Li Wei Wang Peng Ye FedML 29 0 0 30 Jul 2024
On ADMM in Heterogeneous Federated Learning: Personalization, Robustness, and Fairness Shengkun Zhu Jinshan Zeng Sheng Wang Yuan Sun Xiaodong Li Yuan Yao Zhiyong Peng 36 0 0 23 Jul 2024
A New Theoretical Perspective on Data Heterogeneity in Federated Optimization Jiayi Wang Shiqiang Wang Rong-Rong Chen Mingyue Ji FedML 28 1 0 22 Jul 2024
Resource-Efficient Federated Multimodal Learning via Layer-wise and Progressive Training Ye Lin Tun Chu Myaet Thwal Minh N. H. Nguyen Choong Seon Hong 36 0 0 22 Jul 2024
Feature Inference Attack on Shapley Values Xinjian Luo Yangfan Jiang X. Xiao AAML FAtt 30 19 0 16 Jul 2024
BoBa: Boosting Backdoor Detection through Data Distribution Inference in Federated Learning Ning Wang Shanghao Shi Yang Xiao Yimin Chen Y. T. Hou W. Lou FedML AAML 22 1 0 12 Jul 2024
Federated Graph Semantic and Structural Learning Wenke Huang Guancheng Wan Mang Ye Bo Du FedML 27 42 0 27 Jun 2024
Personalized federated learning based on feature fusion Wolong Xing Zhenkui Shi Hongyan Peng Xiantao Hu Xianxian Li FedML 21 0 0 24 Jun 2024
Federated Active Learning Framework for Efficient Annotation Strategy in Skin-lesion Classification Zhipeng Deng Yuqiao Yang Kenji Suzuki MedIm FedML 39 1 0 17 Jun 2024
Save It All: Enabling Full Parameter Tuning for Federated Large Language Models via Cycle Block Gradient Descent Lin Wang Zhichao Wang Xiaoying Tang 31 1 0 17 Jun 2024
Promoting Data and Model Privacy in Federated Learning through Quantized LoRA Jianhao Zhu Changze Lv Xiaohua Wang Muling Wu Wenhao Liu Tianlong Li Zixuan Ling Cenyuan Zhang Xiaoqing Zheng Xuanjing Huang 29 2 0 16 Jun 2024
Sustainable self-supervised learning for speech representations Luis Lugo Valentin Vielzeuf 29 2 0 11 Jun 2024
FedPylot: Navigating Federated Learning for Real-Time Object Detection in Internet of Vehicles Cyprien Quéméneur S. Cherkaoui 32 3 0 05 Jun 2024
Towards Federated Domain Unlearning: Verification Methodologies and Challenges Kahou Tam Kewei Xu Li Li Huazhu Fu MU 25 1 0 05 Jun 2024
Universal Exact Compression of Differentially Private Mechanisms Yanxiao Liu Wei-Ning Chen Ayfer Özgür Cheuk Ting Li 33 2 0 28 May 2024
A Systematic Review of Federated Generative Models Ashkan Vedadi Gargary Emiliano De Cristofaro AI4CE 32 2 0 26 May 2024
Fair Federated Learning under Domain Skew with Local Consistency and Domain Diversity Yuhang Chen Wenke Huang Mang Ye FedML 38 16 0 26 May 2024
Achieving Dimension-Free Communication in Federated Learning via Zeroth-Order Optimization Zhe Li Bicheng Ying Zidong Liu Haibo Yang Haibo Yang FedML 59 3 0 24 May 2024
Federated Behavioural Planes: Explaining the Evolution of Client Behaviour in Federated Learning Dario Fenoglio Gabriele Dominici Pietro Barbiero Alberto Tonda M. Gjoreski Marc Langheinrich FedML 29 0 0 24 May 2024
Transformer-based Federated Learning for Multi-Label Remote Sensing Image Classification Baris Büyüktas Kenneth Weitzel Sebastian Völkers Felix Zailskas Begum Demir 44 4 0 24 May 2024
Federated Offline Policy Optimization with Dual Regularization Sheng Yue Zerui Qin Xingyuan Hua Yongheng Deng Ju Ren OffRL 24 0 0 24 May 2024
A Survey of Distributed Learning in Cloud, Mobile, and Edge Settings Madison Threadgill A. Gerstlauer 33 1 0 23 May 2024
The Limits and Potentials of Local SGD for Distributed Heterogeneous Learning with Intermittent Communication Kumar Kshitij Patel Margalit Glasgow Ali Zindari Lingxiao Wang Sebastian U. Stich Ziheng Cheng Nirmit Joshi Nathan Srebro 44 6 0 19 May 2024
Securing Health Data on the Blockchain: A Differential Privacy and Federated Learning Framework Daniel Commey Sena Hounsinou Garth V. Crosby 11 2 0 19 May 2024
Distributed Event-Based Learning via ADMM Güner Dilsad Er Sebastian Trimpe Michael Muehlebach FedML 34 2 0 17 May 2024
Understanding Server-Assisted Federated Learning in the Presence of Incomplete Client Participation Haibo Yang Pei-Yuan Qiu Prashant Khanduri Minghong Fang Jia Liu FedML 36 1 0 04 May 2024
Holistic Evaluation Metrics: Use Case Sensitive Evaluation Metrics for Federated Learning Yanli Li Jehad Ibrahim Huaming Chen Dong Yuan Kim-Kwang Raymond Choo 22 0 0 03 May 2024
Robust Decentralized Learning with Local Updates and Gradient Tracking Sajjad Ghiasvand Amirhossein Reisizadeh Mahnoosh Alizadeh Ramtin Pedarsani 28 3 0 02 May 2024
FeDeRA:Efficient Fine-tuning of Language Models in Federated Learning Leveraging Weight Decomposition Yuxuan Yan Qianqian Yang Shunpu Tang Zhiguo Shi 27 13 0 29 Apr 2024
On the Impact of Data Heterogeneity in Federated Learning Environments with Application to Healthcare Networks Usevalad Milasheuski Bernardo Camajori Tedeschini M. Nicoli S. Savazzi OOD 18 5 0 29 Apr 2024
FedCRL: Personalized Federated Learning with Contrastive Shared Representations for Label Heterogeneity in Non-IID Data Chenghao Huang Xiaolu Chen Yanru Zhang Hao Wang FedML 31 1 0 27 Apr 2024
An Element-Wise Weights Aggregation Method for Federated Learning Yi Hu Hanchi Ren Chen Hu Jingjing Deng Xianghua Xie FedML 16 3 0 24 Apr 2024
Confidential Federated Computations Hubert Eichner Daniel Ramage Kallista A. Bonawitz Dzmitry Huba Tiziano Santoro ... Albert Cheu Katharine Daly Adria Gascon Marco Gruteser Brendan McMahan 40 2 0 16 Apr 2024
Privacy-Preserving Federated Unlearning with Certified Client Removal Ziyao Liu Huanyi Ye Yu Jiang Jiyuan Shen Jiale Guo Ivan Tjuawinata Kwok-Yan Lam MU 24 5 0 15 Apr 2024
Asynchronous Federated Reinforcement Learning with Policy Gradient Updates: Algorithm Design and Convergence Analysis Guangchen Lan Dong-Jun Han Abolfazl Hashemi Vaneet Aggarwal Christopher G. Brinton 122 15 0 09 Apr 2024
A Survey of Graph Neural Networks in Real world: Imbalance, Noise, Privacy and OOD Challenges Wei Ju Siyu Yi Yifan Wang Zhiping Xiao Zhengyan Mao ... Senzhang Wang Xinwang Liu Xiao Luo Philip S. Yu Ming Zhang AI4CE 34 36 0 07 Mar 2024
HeteroSwitch: Characterizing and Taming System-Induced Data Heterogeneity in Federated Learning Gyudong Kim Mehdi Ghasemi Soroush Heidari Seungryong Kim Young Geun Kim S. Vrudhula Carole-Jean Wu 27 1 0 07 Mar 2024
LoCoDL: Communication-Efficient Distributed Learning with Local Training and Compression Laurent Condat A. Maranjyan Peter Richtárik 39 3 0 07 Mar 2024
FLGuard: Byzantine-Robust Federated Learning via Ensemble of Contrastive Models Younghan Lee Yungi Cho Woorim Han Ho Bae Y. Paek FedML AAML 27 2 0 05 Mar 2024
Efficient Unbiased Sparsification Leighton Barnes Timothy Chow Emma Cohen Keith Frankston Benjamin Howard Fred Kochman Daniel Scheinerman Jeffrey VanderKam OT 19 1 0 22 Feb 2024
FedADMM-InSa: An Inexact and Self-Adaptive ADMM for Federated Learning Yongcun Song Ziqi Wang Enrique Zuazua FedML 30 2 0 21 Feb 2024
ADEPT: Hierarchical Bayes Approach to Personalized Federated Unsupervised Learning Kaan Ozkara Bruce Huang Ruida Zhou Suhas Diggavi 87 0 0 19 Feb 2024
FedImpro: Measuring and Improving Client Update in Federated Learning Zhenheng Tang Yonggang Zhang S. Shi Xinmei Tian Tongliang Liu Bo Han Xiaowen Chu FedML 13 13 0 10 Feb 2024