Title
Data Distribution Shifts in (Industrial) Federated Learning as a Privacy Issue David Brunner Alessio Montuoro FedML 96 0 0 20 Sep 2024
Flotta: a Secure and Flexible Spark-inspired Federated Learning Framework Claudio Bonesana Daniele Malpetti Sandra Mitrović Francesca Mangili Laura Azzimonti FedML 87 1 0 20 Sep 2024
Data Poisoning and Leakage Analysis in Federated Learning Wenqi Wei Tiansheng Huang Zachary Yahn Anoop Singhal Margaret Loper Ling Liu FedML SILM 192 2 0 19 Sep 2024
FedNE: Surrogate-Assisted Federated Neighbor Embedding for Dimensionality ReductionNeural Information Processing Systems (NeurIPS), 2024 Ziwei Li Xiaoqi Wang Hong-You Chen Han-Wei Shen Wei-Lun Chao FedML 381 1 0 17 Sep 2024
Advances in APPFL: A Comprehensive and Extensible Federated Learning FrameworkIEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGrid), 2024 Zilinghan Li Shilan He Ze Yang Minseok Ryu Kibaek Kim Ravi K. Madduri FedML 438 20 0 17 Sep 2024
TPFL: Tsetlin-Personalized Federated Learning with Confidence-Based ClusteringCluster Computing (CC), 2024 Rasoul Jafari Gohari Laya Aliahmadipour Ezat Valipour FedML 259 2 0 16 Sep 2024
From Challenges and Pitfalls to Recommendations and Opportunities: Implementing Federated Learning in Healthcare Ming Li Pengcheng Xu Junjie Hu Zeyu Tang Guang Yang FedML 346 26 0 15 Sep 2024
An Efficient Privacy-aware Split Learning Framework for Satellite CommunicationsIEEE Journal on Selected Areas in Communications (JSAC), 2024 Jianfei Sun Cong Wu Shahid Mumtaz Junyi Tao Mingsheng Cao Mei Wang Valerio Frascolla 230 15 0 13 Sep 2024
FedHide: Federated Learning by Hiding in the NeighborsEuropean Conference on Computer Vision (ECCV), 2024 Hyunsin Park Sungrack Yun FedML 172 0 0 12 Sep 2024
HERL: Tiered Federated Learning with Adaptive Homomorphic Encryption using Reinforcement Learning Jiaxang Tang Zeshan Fayyaz M. A. Salahuddin R. Boutaba Zhi-Li Zhang Ali Anwar FedML 166 0 0 11 Sep 2024
Personalized Federated Learning Techniques: Empirical AnalysisBigData Congress [Services Society] (BSS), 2024 Azal Ahmad Khan Ahmad Faraz Khan Haider Ali A. Anwar FedML 217 2 0 10 Sep 2024
DynamicFL: Federated Learning with Dynamic Communication Resource AllocationBigData Congress [Services Society] (BSS), 2024 Qi Le Enmao Diao Xinran Wang Vahid Tarokh Jie Ding Ali Anwar FedML 273 2 0 08 Sep 2024
FedModule: A Modular Federated Learning Framework Chuyi Chen Zhe Zhang Yanchao Zhao FedML 131 1 0 07 Sep 2024
CAMH: Advancing Model Hijacking Attack in Machine LearningAAAI Conference on Artificial Intelligence (AAAI), 2024 Xing He Jiahao Chen Yuwen Pu Qingming Li Chunyi Zhou Yingcai Wu Jinbao Li Shouling Ji 125 0 0 25 Aug 2024
Understanding Data Reconstruction Leakage in Federated Learning from a Theoretical Perspective Zifan Wang Binghui Zhang Meng Pang Yuan Hong Binghui Wang FedML 212 0 0 22 Aug 2024
FedMoE: Personalized Federated Learning via Heterogeneous Mixture of Experts Hanzi Mei Dongqi Cai Ao Zhou Shangguang Wang Mengwei Xu MoE 260 17 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 380 9 0 16 Aug 2024
DATTA: Domain Diversity Aware Test-Time Adaptation for Dynamic Domain Shift Data Streams Chuyang Ye Dongyan Wei Zhendong Liu Yuanyi Pang Yixi Lin Jiarong Liao Qinting Jiang Xianghua Fu TTA 303 0 0 15 Aug 2024
Understanding Byzantine Robustness in Federated Learning with A Black-box Server Fangyuan Zhao Yuexiang Xie Xuebin Ren Bolin Ding Shusen Yang Yaliang Li FedML AAML 226 1 0 12 Aug 2024
LiD-FL: Towards List-Decodable Federated LearningAAAI Conference on Artificial Intelligence (AAAI), 2024 Hong Liu Liren Shan Han Bao Ronghui You Yuhao Yi Jiancheng Lv FedML 416 0 0 09 Aug 2024
CELLM: An Efficient Communication in Large Language Models Training for Federated Learning Raja Vavekanand Kira Sam 249 0 0 30 Jul 2024
Efficient Byzantine-Robust and Provably Privacy-Preserving Federated Learning Chenfei Nie Qiang Li Yuxin Yang Yuede Ji Binghui Wang 207 2 0 29 Jul 2024
FedAR: Addressing Client Unavailability in Federated Learning with Local Update Approximation and Rectification Chutian Jiang Hansong Zhou Xiaonan Zhang Shayok Chakraborty FedML 269 1 0 26 Jul 2024
SCALE: Self-regulated Clustered federAted LEarning in a Homogeneous Environment Sai Puppala Ismail Hossain Md. jahangir Alam Sajedul Talukder Zahidur Talukder Syed Bahauddin 226 4 0 25 Jul 2024
Generative AI like ChatGPT in Blockchain Federated Learning: use cases, opportunities and future Sai Puppala Ismail Hossain Md. jahangir Alam Sajedul Talukder J. Ferdaus Mahedi Hasan Sameera Pisupati Shanmukh Mathukumilli FedML 138 4 0 25 Jul 2024
COALA: A Practical and Vision-Centric Federated Learning Platform Weiming Zhuang Jian Xu Chen Chen Jingtao Li Lingjuan Lyu VLM FedML 298 9 0 23 Jul 2024
A Learning-Based Attack Framework to Break SOTA Poisoning Defenses in Federated Learning Yuxin Yang Qiang Li Chenfei Nie Yuan Hong Meng Pang Binghui Wang AAML FedML 269 1 0 21 Jul 2024
PowerTrain: Fast, Generalizable Time and Power Prediction Models to Optimize DNN Training on Accelerated Edges Prashanthi S.K. Saisamarth Taluri Beautlin S Lakshya Karwa Yogesh L. Simmhan 149 5 0 18 Jul 2024
Overcoming Catastrophic Forgetting in Federated Class-Incremental Learning via Federated Global Twin Generator Thinh Nguyen Khoa D. Doan Binh T. Nguyen Danh Le-Phuoc Kok-Seng Wong FedML 202 2 0 13 Jul 2024
FedTSA: A Cluster-based Two-Stage Aggregation Method for Model-heterogeneous Federated Learning Boyu Fan Chenrui Wu Xiang Su Pan Hui FedML 290 4 0 06 Jul 2024
Decentralized Intelligence Network (DIN) Abraham Nash 493 2 0 02 Jul 2024
Energy-Aware Decentralized Learning with Intermittent Model Training Akash Dhasade Paolo Dini Elia Guerra Anne-Marie Kermarrec M. Miozzo Rafael Pires Rishi Sharma M. Vos 207 1 0 01 Jul 2024
Enhancing Federated Learning with Adaptive Differential Privacy and Priority-Based Aggregation Mahtab Talaei Iman Izadi FedML 159 0 0 26 Jun 2024
Distributed Training of Large Graph Neural Networks with Variable Communication Rates J. Cerviño Md Asadullah Turja Hesham Mostafa N. Himayat Alejandro Ribeiro GNN AI4CE 302 1 0 25 Jun 2024
Meta-FL: A Novel Meta-Learning Framework for Optimizing Heterogeneous Model Aggregation in Federated Learning Zahir Alsulaimawi 57 5 0 23 Jun 2024
Breaking Secure Aggregation: Label Leakage from Aggregated Gradients in Federated Learning Peng Kuang Zhiwei Chang Jiahui Hu Xiaoyi Pang Jiacheng Du Yongle Chen Kui Ren FedML 155 8 0 22 Jun 2024
BadSampler: Harnessing the Power of Catastrophic Forgetting to Poison Byzantine-robust Federated Learning Yi Liu Cong Wang Lizhen Qu AAML 156 4 0 18 Jun 2024
Federated Learning Optimization: A Comparative Study of Data and Model Exchange Strategies in Dynamic Networks Alka Luqman Yeow Wei Liang Brandon Anupam Chattopadhyay 155 0 0 16 Jun 2024
Certifiably Byzantine-Robust Federated Conformal Prediction Mintong Kang Zhen Lin Jimeng Sun Cao Xiao Yue Liu FedML 332 5 0 04 Jun 2024
Asynchronous Byzantine Federated Learning Bart Cox Abele Malan Lydia Y. Chen Jérémie Decouchant 234 2 0 03 Jun 2024
FedAST: Federated Asynchronous Simultaneous Training Baris Askin Pranay Sharma Carlee Joe-Wong Gauri Joshi 262 6 0 01 Jun 2024
Enhancing Performance for Highly Imbalanced Medical Data via Data Regularization in a Federated Learning Setting Georgios Tsoumplekas Ilias Siniosoglou Vasileios Argyriou Ioannis D. Moscholios Panagiotis G. Sarigiannidis OOD FedML 127 3 0 30 May 2024
Harnessing Increased Client Participation with Cohort-Parallel Federated Learning Akash Dhasade Anne-Marie Kermarrec Tuan-Anh Nguyen Rafael Pires M. Vos FedML 361 0 0 24 May 2024
Recurrent Early Exits for Federated Learning with Heterogeneous ClientsInternational Conference on Machine Learning (ICML), 2024 Royson Lee Javier Fernandez-Marques S. Hu Da Li Stefanos Laskaridis Łukasz Dudziak Timothy M. Hospedales Ferenc Huszár Nicholas D. Lane 234 7 0 23 May 2024
Fault Tolerant ML: Efficient Meta-Aggregation and Synchronous TrainingInternational Conference on Machine Learning (ICML), 2024 T. Dahan Kfir Y. Levy 226 3 0 23 May 2024
Worldwide Federated Training of Language Models Alexandru Iacob Lorenzo Sani Bill Marino Preslav Aleksandrov William F. Shen Nicholas D. Lane FedML 331 5 0 23 May 2024
Requirements are All You Need: The Final Frontier for End-User Software Engineering Diana Robinson Christian Cabrera Andrew D. Gordon Neil D. Lawrence Lars Mennen 213 9 0 22 May 2024
Task-agnostic Decision Transformer for Multi-type Agent Control with Federated Split Training Zhiyuan Wang Bokui Chen Xiaoyang Qu Zhenhou Hong Jing Xiao Jianzong Wang 158 0 0 22 May 2024
The Future of Large Language Model Pre-training is Federated Lorenzo Sani Alexandru Iacob Zeyu Cao Bill Marino Yan Gao ... Wanru Zhao William F. Shen Preslav Aleksandrov Xinchi Qiu Nicholas D. Lane AI4CE 426 37 0 17 May 2024
Unmasking Efficiency: Learning Salient Sparse Models in Non-IID Federated Learning Riyasat Ohib Bishal Thapaliya Gintare Karolina Dziugaite Jingyu Liu Vince D. Calhoun Sergey Plis FedML 183 1 0 15 May 2024