Federated Learning: Challenges, Methods, and Future Directions

IEEE Signal Processing Magazine (IEEE SPM), 2019

21 August 2019

Papers citing "Federated Learning: Challenges, Methods, and Future Directions"

50 / 1,673 papers shown

Title
FedAWA: Adaptive Optimization of Aggregation Weights in Federated Learning Using Client VectorsComputer Vision and Pattern Recognition (CVPR), 2025 Changlong Shi He Zhao Bingjie Zhang Mingyuan Zhou Dandan Guo Yi Chang 295 4 0 20 Mar 2025
FedLWS: Federated Learning with Adaptive Layer-wise Weight ShrinkingInternational Conference on Learning Representations (ICLR), 2025 Changlong Shi Jinmeng Li He Zhao D. Guo Yi Chang FedML 316 2 0 19 Mar 2025
PAUSE: Low-Latency and Privacy-Aware Active User Selection for Federated Learning Ori Peleg Natalie Lang Stefano Rini Stefano Rini Nir Shlezinger Kobi Cohen FedML 351 0 0 17 Mar 2025
Federated Continual Instruction Tuning Haiyang Guo Fanhu Zeng Fei Zhu Wenzhuo Liu Da-Han Wang Jian Xu Xu-Yao Zhang Cheng-Lin Liu CLL FedML 483 6 0 17 Mar 2025
FedTilt: Towards Multi-Level Fairness-Preserving and Robust Federated Learning Binghui Zhang Luis Mares De La Cruz Binghui Wang FedML 152 1 0 15 Mar 2025
A Multi-Modal Federated Learning Framework for Remote Sensing Image ClassificationIEEE Transactions on Geoscience and Remote Sensing (IEEE TGRS), 2025 Barış Büyüktaş Gencer Sumbul Tim Siebert 252 1 0 13 Mar 2025
Moss: Proxy Model-based Full-Weight Aggregation in Federated Learning with Heterogeneous ModelsProceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies (IMWUT), 2025 Y. Cai Ziqi Zhang Ding Li Yao Guo Xiangqun Chen 416 0 0 13 Mar 2025
Smoothing ADMM for Non-convex and Non-smooth Hierarchical Federated Learning Reza Mirzaeifard Stefan Werner FedML 163 0 0 13 Mar 2025
Byzantine-Resilient Federated Learning via Distributed Optimization Yufei Xia Wenrui Yu Qiongxiu Li AAML 208 1 0 13 Mar 2025
A Comprehensive Review on Understanding the Decentralized and Collaborative Approach in Machine Learning S. Saif Md Jahirul Islam Md. Zihad Bin Jahangir Parag Biswas Abdur Rashid Md Abdullah Al Nasim Kishor Datta Gupta 172 3 0 12 Mar 2025
Scaling Probabilistic Circuits via Data PartitioningConference on Uncertainty in Artificial Intelligence (UAI), 2025 Jonas Seng Florian Peter Busch P. Prasad Devendra Singh Dhami Martin Mundt Kristian Kersting TPM FedML 307 0 0 11 Mar 2025
Adaptive routing protocols for determining optimal paths in AI multi-agent systems: a priority- and learning-enhanced approach Theodor Panayotov Ivo Emanuilov 67 0 0 10 Mar 2025
From Centralized to Decentralized Federated Learning: Theoretical Insights, Privacy Preservation, and Robustness Challenges Qiongxiu Li Wenrui Yu Yufei Xia Jun Pang FedML 209 5 0 10 Mar 2025
Privacy Protection in Prosumer Energy Management Based on Federated LearningIEEE Access (IEEE Access), 2025 Yunfeng Li Xiaolin Li Zhitao Li Gangqiang Li FedML 206 4 0 09 Mar 2025
Geometric Knowledge-Guided Localized Global Distribution Alignment for Federated LearningComputer Vision and Pattern Recognition (CVPR), 2025 Yanbiao Ma Wei-Ming Dai Wenke Huang Jiayi Chen 445 6 0 09 Mar 2025
Federated Inverse Probability Treatment Weighting for Individual Treatment Effect Estimation Changchang Yin Hong-You Chen Wei-Lun Chao Ping Zhang CML 191 1 0 06 Mar 2025
Privacy Preserving and Robust Aggregation for Cross-Silo Federated Learning in Non-IID Settings Marco Arazzi Mert Cihangiroglu Antonino Nocera FedML 205 0 0 06 Mar 2025
Federated Learning for Predicting Mild Cognitive Impairment to Dementia Conversion Gaurang Sharma Elaheh Moradi Juha Pajula Mika Hilvo Jussi Tohka 194 0 0 05 Mar 2025
AugFL: Augmenting Federated Learning with Pretrained Models Sheng Yue Zerui Qin Yongheng Deng Ju Ren Yaoxue Zhang Junshan Zhang FedML 348 4 0 04 Mar 2025
Heterogeneity Matters even More in Distributed Learning: Study from Generalization Perspective Masoud Kavian Romain Chor Milad Sefidgaran Abdellatif Zaidi FedML 331 2 0 03 Mar 2025
Federated Conversational Recommender System Allen Lin Jianling Wang Ziwei Zhu James Caverlee FedML 148 0 0 02 Mar 2025
Conditioning on Local Statistics for Scalable Heterogeneous Federated Learning Rickard Brännvall FedML 162 0 0 01 Mar 2025
FedDyMem: Efficient Federated Learning with Dynamic Memory and Memory-Reduce for Unsupervised Image Anomaly Detection Silin Chen Kangjian Di Yichu Xu Han-Jia Ye Wenhan Luo Ningmu Zou FedML 201 0 0 28 Feb 2025
H-FLTN: A Privacy-Preserving Hierarchical Framework for Electric Vehicle Spatio-Temporal Charge Prediction Robert Marlin Raja Jurdak Alsharif Abuadbba 211 0 0 25 Feb 2025
Personalized Federated Learning for Egocentric Video Gaze Estimation with Comprehensive Parameter Frezzing Yuhu Feng Keisuke Maeda Takahiro Ogawa Miki Haseyama FedML EgoV 214 0 0 25 Feb 2025
FedBM: Stealing Knowledge from Pre-trained Language Models for Heterogeneous Federated Learning Meilu Zhu Qiushi Yang Zhifan Gao Yixuan Yuan Jun Liu FedML 343 0 0 24 Feb 2025
TrustChain: A Blockchain Framework for Auditing and Verifying Aggregators in Decentralized Federated Learning Ehsan Hallaji R. Razavi-Far R. Razavi-Far 146 0 0 23 Feb 2025
FedORGP: Guiding Heterogeneous Federated Learning with Orthogonality Regularization on Global Prototypes Fucheng Guo Zeyu Luan Qing Li Dan Zhao Yong Jiang FedML 283 0 0 22 Feb 2025
Blockchain-based Framework for Scalable and Incentivized Federated LearningThe Web Conference (WWW), 2025 Bijun Wu Oshani Seneviratne FedML 261 4 0 21 Feb 2025
A new framework for prognostics in decentralized industries: Enhancing fairness, security, and transparency through Blockchain and Federated Learning T.Q.D. Pham K.D. Tran Khanh T. P. Nguyen X.V. Tran K.P. Tran K.P. Tran AI4CE 328 1 0 17 Feb 2025
Privacy-Preserving Dataset Combination Keren Fuentes Mimee Xu Irene Chen 315 0 0 09 Feb 2025
Principles and Components of Federated Learning Architectures S. Saif Md Abdullah Al Nasim Parag Biswas Abdur Rashid Md. Mahim Anjum Haque Md. Zihad Bin Jahangir Kishor Datta Gupta FedML 273 6 0 07 Feb 2025
Flash: A Hybrid Private Inference Protocol for Deep CNNs with High Accuracy and Low Latency on CPU H. Roh Jinsu Yeo Yeongil Ko Gu-Yeon Wei David Brooks Woo-Seok Choi 303 2 0 20 Jan 2025
PeFLL: Personalized Federated Learning by Learning to LearnInternational Conference on Learning Representations (ICLR), 2023 Jonathan Scott Hossein Zakerinia Christoph H. Lampert FedML 587 30 0 17 Jan 2025
Towards Federated Multi-Armed Bandit Learning for Content Dissemination using Swarm of UAVs Amit Kumar Bhuyan H. Dutta S. Biswas 215 1 0 15 Jan 2025
SafeSplit: A Novel Defense Against Client-Side Backdoor Attacks in Split Learning (Full Version)Network and Distributed System Security Symposium (NDSS), 2025 Phillip Rieger Alessandro Pegoraro Kavita Kumari Tigist Abera Jonathan Knauer A. Sadeghi AAML 401 5 0 11 Jan 2025
Regularized Top- $k$ : A Bayesian Framework for Gradient Sparsification Ali Bereyhi B. Liang G. Boudreau Ali Afana BDL 103 0 0 10 Jan 2025
Predictable Artificial Intelligence Lexin Zhou Pablo Antonio Moreno Casares Fernando Martínez-Plumed John Burden Ryan Burnell ... Seán Ó hÉigeartaigh Danaja Rutar Wout Schellaert Konstantinos Voudouris José Hernández-Orallo 429 6 0 08 Jan 2025
Diffusion Model-Based Data Synthesis Aided Federated Semi-Supervised LearningIEEE Wireless Communications and Networking Conference (WCNC), 2025 Zhongwei Wang Tong Wu Zhiyong Chen Liang Qian Yin Xu Meixia Tao FedML 208 0 0 04 Jan 2025
Recommender Engine Driven Client Selection in Federated Brain Tumor Segmentation Muhammad Irfan Khan Elina Kontio Suleiman A. Khan Mojtaba Jafaritadi FedML 196 2 0 31 Dec 2024
A Unified Analysis of Federated Learning with Arbitrary Client ParticipationNeural Information Processing Systems (NeurIPS), 2022 Maroun Touma Mingyue Ji FedML 522 76 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 180 1 0 31 Dec 2024
FedRLHF: A Convergence-Guaranteed Federated Framework for Privacy-Preserving and Personalized RLHFAdaptive Agents and Multi-Agent Systems (AAMAS), 2024 Flint Xiaofeng Fan Cheston Tan Yew-Soon Ong Roger Wattenhofer Wei Tsang Ooi 392 2 0 20 Dec 2024
Efficiently Achieving Secure Model Training and Secure Aggregation to Ensure Bidirectional Privacy-Preservation in Federated Learning Xue Yang Depan Peng Yan Feng Xiaohu Tang Weijun Fang Jun Shao FedML 202 0 0 16 Dec 2024
Predicting Survival of Hemodialysis Patients using Federated Learning Abhiram Raju Praneeth Vepakomma FedML 155 0 0 14 Dec 2024
Evaluating the Potential of Federated Learning for Maize Leaf Disease Prediction Thalita Mendonça Antico Larissa F. Rodrigues Moreira Rodrigo Moreira 219 31 0 10 Dec 2024
One-shot Federated Learning via Synthetic Distiller-Distillate CommunicationNeural Information Processing Systems (NeurIPS), 2024 Junyuan Zhang Songhua Liu Xinchao Wang DD FedML 237 7 0 06 Dec 2024
Federated Learning in Mobile Networks: A Comprehensive Case Study on Traffic ForecastingIEEE Transactions on Sustainable Computing (TSC), 2024 Nikolaos Pavlidis V. Perifanis Selim F. Yilmaz F. Wilhelmi M. Miozzo P. Efraimidis R. Koutsiamanis Pavol Mulinka Paolo Dini 167 5 0 05 Dec 2024
Federated Automated Feature Engineering Tom Overman Diego Klabjan FedML 303 1 0 05 Dec 2024
Learn More by Using Less: Distributed Learning with Energy-Constrained Devices Roberto Pereira Cristian J. Vaca-Rubio Luis Blanco FedML 239 0 0 03 Dec 2024