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Federated Learning: Challenges, Methods, and Future Directions

Federated Learning: Challenges, Methods, and Future Directions

IEEE Signal Processing Magazine (IEEE SPM), 2019
21 August 2019
Tian Li
Anit Kumar Sahu
Ameet Talwalkar
Virginia Smith
    FedML
ArXiv (abs)PDFHTML

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

50 / 1,676 papers shown
Title
Poison to Detect: Detection of Targeted Overfitting in Federated Learning
Poison to Detect: Detection of Targeted Overfitting in Federated Learning
Soumia Zohra El Mestari
Maciej Krzysztof Zuziak
Gabriele Lenzini
100
0
0
15 Sep 2025
Differentially Private Decentralized Dataset Synthesis Through Randomized Mixing with Correlated Noise
Differentially Private Decentralized Dataset Synthesis Through Randomized Mixing with Correlated Noise
Utsab Saha
Tanvir Muntakim Tonoy
Hafiz Imtiaz
88
0
0
12 Sep 2025
Decentor-V: Lightweight ML Training on Low-Power RISC-V Edge Devices
Decentor-V: Lightweight ML Training on Low-Power RISC-V Edge Devices
Marcelo Ribeiro
Diogo Costa
Gonçalo Moreira
Sandro Pinto
T. Gomes
72
0
0
10 Sep 2025
FedTeddi: Temporal Drift and Divergence Aware Scheduling for Timely Federated Edge Learning
FedTeddi: Temporal Drift and Divergence Aware Scheduling for Timely Federated Edge Learning
Yuxuan Bai
Yuxuan Sun
Tan Chen
Wei Chen
Sheng Zhou
Z. Niu
FedML
92
0
0
09 Sep 2025
Impact of Labeling Inaccuracy and Image Noise on Tooth Segmentation in Panoramic Radiographs using Federated, Centralized and Local Learning
Impact of Labeling Inaccuracy and Image Noise on Tooth Segmentation in Panoramic Radiographs using Federated, Centralized and Local Learning
Johan Andreas Balle Rubak
Khuram Naveed
Sanyam Jain
Lukas Esterle
Alexandros Iosifidis
Ruben Pauwels
44
1
0
08 Sep 2025
On Using Large-Batches in Federated Learning
On Using Large-Batches in Federated Learning
Sahil Tyagi
FedML
94
0
0
05 Sep 2025
Warming Up for Zeroth-Order Federated Pre-Training with Low Resource Clients
Warming Up for Zeroth-Order Federated Pre-Training with Low Resource Clients
G. Legate
Irina Rish
Eugene Belilovsky
FedML
104
0
0
03 Sep 2025
Privacy-Preserving Personalization in Education: A Federated Recommender System for Student Performance Prediction
Privacy-Preserving Personalization in Education: A Federated Recommender System for Student Performance Prediction
Rodrigo Tertulino
Ricardo Almeida
113
2
0
03 Sep 2025
Federated learning over physical channels: adaptive algorithms with near-optimal guarantees
Rui Zhang
Wenlong Mou
FedML
100
0
0
02 Sep 2025
Rethinking Federated Learning Over the Air: The Blessing of Scaling Up
Rethinking Federated Learning Over the Air: The Blessing of Scaling Up
Jiaqi Zhu
Bikramjit Das
Yong Xie
Nikolaos Pappas
Howard H. Yang
FedML
88
1
0
25 Aug 2025
FedGreed: A Byzantine-Robust Loss-Based Aggregation Method for Federated Learning
FedGreed: A Byzantine-Robust Loss-Based Aggregation Method for Federated Learning
Emmanouil Kritharakis
Antonios Makris
Dusan Jakovetic
Konstantinos Tserpes
FedML
108
1
0
25 Aug 2025
FedKLPR: Personalized Federated Learning for Person Re-Identification with Adaptive Pruning
FedKLPR: Personalized Federated Learning for Person Re-Identification with Adaptive Pruning
Po-Hsien Yu
Yu-Syuan Tseng
Shao-Yi Chien
VLM
110
0
0
24 Aug 2025
Federated Distillation on Edge Devices: Efficient Client-Side Filtering for Non-IID Data
Federated Distillation on Edge Devices: Efficient Client-Side Filtering for Non-IID Data
Ahmed Mujtaba
Gleb Radchenko
Radu Prodan
Marc Masana
FedML
92
0
0
20 Aug 2025
FedEve: On Bridging the Client Drift and Period Drift for Cross-device Federated Learning
FedEve: On Bridging the Client Drift and Period Drift for Cross-device Federated Learning
Tao Shen
Zexi Li
Didi Zhu
Ziyu Zhao
Chao-Xiang Wu
Fei Wu
FedML
124
0
0
20 Aug 2025
Trans-XFed: An Explainable Federated Learning for Supply Chain Credit Assessment
Trans-XFed: An Explainable Federated Learning for Supply Chain Credit Assessment
Jie Shi
A. Siebes
S. Mehrkanoon
FedML
104
0
0
19 Aug 2025
Argos: A Decentralized Federated System for Detection of Traffic Signs in CAVs
Argos: A Decentralized Federated System for Detection of Traffic Signs in CAVs
Seyed Mahdi Haji Seyed Hossein
Alireza Hosseini
Soheil Hajian Manesh
Amirali Shahriary
42
0
0
18 Aug 2025
FedUNet: A Lightweight Additive U-Net Module for Federated Learning with Heterogeneous Models
FedUNet: A Lightweight Additive U-Net Module for Federated Learning with Heterogeneous Models
Beomseok Seo
Kichang Lee
JaeYeon Park
FedML
92
0
0
18 Aug 2025
Robust Federated Learning under Adversarial Attacks via Loss-Based Client Clustering
Robust Federated Learning under Adversarial Attacks via Loss-Based Client Clustering
Emmanouil Kritharakis
Dusan Jakovetic
Antonios Makris
Konstantinos Tserpes
FedML
208
1
0
18 Aug 2025
Communication-Efficient Distributed Asynchronous ADMM
Communication-Efficient Distributed Asynchronous ADMM
Sagar Shrestha
FedML
80
0
0
17 Aug 2025
Fed-Meta-Align: A Similarity-Aware Aggregation and Personalization Pipeline for Federated TinyML on Heterogeneous Data
Fed-Meta-Align: A Similarity-Aware Aggregation and Personalization Pipeline for Federated TinyML on Heterogeneous Data
Hemanth Macharla
Mayukha Pal
76
0
0
15 Aug 2025
Decentralized Rank Scheduling for Energy-Constrained Multi-Task Federated Fine-Tuning in Edge-Assisted IoV Networks
Decentralized Rank Scheduling for Energy-Constrained Multi-Task Federated Fine-Tuning in Edge-Assisted IoV Networks
Bokeng Zheng
Jianqiang Zhong
Jiayi Liu
Xiaoxi Zhang
84
0
0
13 Aug 2025
Distributed optimization: designed for federated learning
Distributed optimization: designed for federated learning
Wenyou Guo
Ting Qu
Chunrong Pan
George Q. Huang
FedML
114
2
0
12 Aug 2025
Decentralized Weather Forecasting via Distributed Machine Learning and Blockchain-Based Model Validation
Decentralized Weather Forecasting via Distributed Machine Learning and Blockchain-Based Model Validation
Rilwan Umar
Aydin Abadi
Basil Aldali
Benito Vincent
Elliot A. J. Hurley
...
Lambert Uwuigbusun
Mujeeb Ahmed
Shishir Nagaraja
Suleiman Sabo
Weaam Alrbeiqi
96
0
0
12 Aug 2025
Federated Learning for Epileptic Seizure Prediction Across Heterogeneous EEG Datasets
Federated Learning for Epileptic Seizure Prediction Across Heterogeneous EEG Datasets
Cem Ata Baykara
Saurav R. Pandey
Ali Burak Ünal
Harlin Lee
Mete Akgün
FedML
68
0
0
11 Aug 2025
Communication-Efficient Zero-Order and First-Order Federated Learning Methods over Wireless Networks
Communication-Efficient Zero-Order and First-Order Federated Learning Methods over Wireless Networks
Mohamad Assaad
Zeinab Nehme
Mérouane Debbah
81
0
0
11 Aug 2025
Stabilizing Federated Learning under Extreme Heterogeneity with HeteRo-Select
Stabilizing Federated Learning under Extreme Heterogeneity with HeteRo-Select
Md. Akmol Masud
Md Abrar Jahin
Mahmud Hasan
52
0
0
08 Aug 2025
Heterogeneity-Oblivious Robust Federated Learning
Heterogeneity-Oblivious Robust Federated Learning
Weiyao Zhang
Jinyang Li
Qi Song
Miao Wang
Chungang Lin
Haitong Luo
Xuying Meng
Yujun Zhang
AAML
183
0
0
05 Aug 2025
Dynamic Clustering for Personalized Federated Learning on Heterogeneous Edge Devices
Dynamic Clustering for Personalized Federated Learning on Heterogeneous Edge Devices
Heting Liu
Junzhe Huang
Fang He
Guohong Cao
FedML
133
0
0
03 Aug 2025
Soft Separation and Distillation: Toward Global Uniformity in Federated Unsupervised Learning
Soft Separation and Distillation: Toward Global Uniformity in Federated Unsupervised Learning
Hung-Chieh Fang
Hsuan-Tien Lin
Irwin King
Yifei Zhang
FedML
129
0
0
02 Aug 2025
Mitigating Resolution-Drift in Federated Learning: Case of Keypoint Detection
Mitigating Resolution-Drift in Federated Learning: Case of Keypoint Detection
Taeheon Lim
Joohyung Lee
Kyungjae Lee
Jungchan Cho
84
0
0
31 Jul 2025
FedCVD++: Communication-Efficient Federated Learning for Cardiovascular Risk Prediction with Parametric and Non-Parametric Model Optimization
FedCVD++: Communication-Efficient Federated Learning for Cardiovascular Risk Prediction with Parametric and Non-Parametric Model Optimization
Abdelrhman Gaber
Hassan Abd-Eltawab
John Elgallab
Youssif Abuzied
Dineo Mpanya
Turgay Celik
Swarun Kumar
Tamer ElBatt
FedML
133
0
0
30 Jul 2025
Meta Fusion: A Unified Framework For Multimodality Fusion with Mutual Learning
Meta Fusion: A Unified Framework For Multimodality Fusion with Mutual Learning
Ziyi Liang
Annie Qu
Babak Shahbaba
118
0
0
27 Jul 2025
Debunking Optimization Myths in Federated Learning for Medical Image Classification
Debunking Optimization Myths in Federated Learning for Medical Image Classification
Youngjoon Lee
Hyukjoon Lee
J. Gong
Yang Cao
Joonhyuk Kang
FedML
104
1
0
26 Jul 2025
Federated Calculation of the Free-Support Transportation Barycenter by Single-Loop Dual Decomposition
Federated Calculation of the Free-Support Transportation Barycenter by Single-Loop Dual Decomposition
Zhengqi Lin
Andrzej Ruszczynski
122
1
0
25 Jul 2025
Enhancing Quantum Federated Learning with Fisher Information-Based Optimization
Enhancing Quantum Federated Learning with Fisher Information-Based Optimization
A. Bhatia
Sabre Kais
FedML
132
0
0
23 Jul 2025
Decentralized Federated Learning of Probabilistic Generative Classifiers
Decentralized Federated Learning of Probabilistic Generative Classifiers
Aritz Pérez
Carlos Echegoyen
Guzmán Santafé
FedML
98
0
0
23 Jul 2025
Privacy-Preserving Multimodal News Recommendation through Federated Learning
Privacy-Preserving Multimodal News Recommendation through Federated Learning
Mehdi Khalaj
Shahrzad Golestani Najafabadi
Julita Vassileva
143
0
0
21 Jul 2025
FairFedMed: Benchmarking Group Fairness in Federated Medical Imaging with FairLoRA
FairFedMed: Benchmarking Group Fairness in Federated Medical Imaging with FairLoRAIEEE Transactions on Medical Imaging (IEEE TMI), 2025
Minghan Li
Congcong Wen
Yu Tian
Min Shi
Yan Luo
Niraj Pudasaini
Yi Fang
Mengyu Wang
121
1
0
21 Jul 2025
Federated Split Learning with Improved Communication and Storage Efficiency
Federated Split Learning with Improved Communication and Storage EfficiencyIEEE Transactions on Mobile Computing (IEEE TMC), 2025
Yujia Mu
Cong Shen
FedML
113
1
0
21 Jul 2025
Challenges of Trustworthy Federated Learning: What's Done, Current Trends and Remaining Work
Challenges of Trustworthy Federated Learning: What's Done, Current Trends and Remaining Work
Nuria Rodríguez-Barroso
Mario García-Márquez
M. V. Luzón
Francisco Herrera
FedML
146
3
0
21 Jul 2025
Clustered Federated Learning for Generalizable FDIA Detection in Smart Grids with Heterogeneous Data
Clustered Federated Learning for Generalizable FDIA Detection in Smart Grids with Heterogeneous Data
Yunfeng Li
Junhong Liu
Zhaohui Yang
Guofu Liao
Chuyun Zhang
158
1
0
20 Jul 2025
Federated Reinforcement Learning in Heterogeneous Environments
Federated Reinforcement Learning in Heterogeneous Environments
Ukjo Hwang
Songnam Hong
FedML
129
1
0
19 Jul 2025
FedStrategist: A Meta-Learning Framework for Adaptive and Robust Aggregation in Federated Learning
FedStrategist: A Meta-Learning Framework for Adaptive and Robust Aggregation in Federated Learning
Md Rafid Haque
Abu Raihan Mostofa Kamal
M. Hossain
FedML
167
0
0
18 Jul 2025
Feature Distillation is the Better Choice for Model-Heterogeneous Federated Learning
Feature Distillation is the Better Choice for Model-Heterogeneous Federated Learning
Yichen Li
Xiuying Wang
Wenchao Xu
Haozhao Wang
Yining Qi
Jiahua Dong
Ruixuan Li
FedML
247
1
0
14 Jul 2025
Greedy Low-Rank Gradient Compression for Distributed Learning with Convergence Guarantees
Greedy Low-Rank Gradient Compression for Distributed Learning with Convergence Guarantees
Chuyan Chen
Yutong He
Pengrui Li
Weichen Jia
Kun Yuan
576
4
0
11 Jul 2025
A Narrative Review on Large AI Models in Lung Cancer Screening, Diagnosis, and Treatment Planning
A Narrative Review on Large AI Models in Lung Cancer Screening, Diagnosis, and Treatment Planning
Jiachen Zhong
Yiting Wang
Di Zhu
Ziwei Wang
LM&MAAI4CE
199
5
0
01 Jul 2025
PPFL-RDSN: Privacy-Preserving Federated Learning-based Residual Dense Spatial Networks for Encrypted Lossy Image Reconstruction
PPFL-RDSN: Privacy-Preserving Federated Learning-based Residual Dense Spatial Networks for Encrypted Lossy Image Reconstruction
Peilin He
James Joshi
193
0
0
30 Jun 2025
Autonomous Cyber Resilience via a Co-Evolutionary Arms Race within a Fortified Digital Twin Sandbox
Autonomous Cyber Resilience via a Co-Evolutionary Arms Race within a Fortified Digital Twin Sandbox
Malikussaid
Sutiyo
181
0
0
25 Jun 2025
Efficient Federated Learning with Encrypted Data Sharing for Data-Heterogeneous Edge Devices
Efficient Federated Learning with Encrypted Data Sharing for Data-Heterogeneous Edge Devices
Hangyu Li
Hongyue Wu
Guodong Fan
Zhen Zhang
Shizhan Chen
Zhiyong Feng
FedML
206
0
0
25 Jun 2025
Progressive Size-Adaptive Federated Learning: A Comprehensive Framework for Heterogeneous Multi-Modal Data Systems
Progressive Size-Adaptive Federated Learning: A Comprehensive Framework for Heterogeneous Multi-Modal Data Systems
Sajid Hussain
Muhammad Sohail
Nauman Ali Khan
Naima Iltaf
Ihtesham ul Islam
AI4TS
158
0
0
24 Jun 2025
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