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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
Over-the-Air Federated Learning: Rethinking Edge AI Through Signal Processing
Over-the-Air Federated Learning: Rethinking Edge AI Through Signal Processing
Seyed Mohammad Azimi-Abarghouyi
Carlo Fischione
Kaibin Huang
FedML
92
0
0
03 Dec 2025
Multi-Frequency Federated Learning for Human Activity Recognition Using Head-Worn Sensors
Multi-Frequency Federated Learning for Human Activity Recognition Using Head-Worn SensorsAustralasian Conference on Interactive Entertainment (ACIE), 2024
Dario Fenoglio
Mohan Li
Davide Casnici
Matias Laporte
Shkurta Gashi
Silvia Santini
M. Gjoreski
Marc Langheinrich
0
0
0
02 Dec 2025
FedSGT: Exact Federated Unlearning via Sequential Group-based Training
FedSGT: Exact Federated Unlearning via Sequential Group-based Training
Bokang Zhang
Hong Guan
Hong kyu Lee
Ruixuan Liu
Jia Zou
Li Xiong
MUFedML
197
0
0
28 Nov 2025
Communication-Efficient Learning for Satellite Constellations
Communication-Efficient Learning for Satellite Constellations
Ruxandra-Stefania Tudose
Moritz H.W. Grüss
Grace Ra Kim
Karl H. Johansson
Nicola Bastianello
178
0
0
25 Nov 2025
Hi-SAFE: Hierarchical Secure Aggregation for Lightweight Federated Learning
Hi-SAFE: Hierarchical Secure Aggregation for Lightweight Federated Learning
Hyeong-Gun Joo
Songnam Hong
Seunghwan Lee
Dong-joon Shin
FedML
358
0
0
24 Nov 2025
Integrating RCTs, RWD, AI/ML and Statistics: Next-Generation Evidence Synthesis
Integrating RCTs, RWD, AI/ML and Statistics: Next-Generation Evidence Synthesis
Shu Yang
Margaret Gamalo
Haoda Fu
CML
148
0
0
24 Nov 2025
ADF-LoRA: Alternating Low-Rank Aggregation for Decentralized Federated Fine-Tuning
ADF-LoRA: Alternating Low-Rank Aggregation for Decentralized Federated Fine-Tuning
X. Wang
X. Li
Zhixiang Zhou
Chen Li
Y. Liu
68
0
0
23 Nov 2025
A Hybrid Proactive And Predictive Framework For Edge Cloud Resource Management
Hrikshesh Kumar
Anika Garg
Anshul Gupta
Yashika Agarwal
168
0
0
20 Nov 2025
FLARE: Adaptive Multi-Dimensional Reputation for Robust Client Reliability in Federated Learning
FLARE: Adaptive Multi-Dimensional Reputation for Robust Client Reliability in Federated Learning
Abolfazl Younesi
Leon Kiss
Zahra Najafabadi Samani
Juan Aznar Poveda
Thomas Fahringer
AAML
219
0
0
18 Nov 2025
Robust Client-Server Watermarking for Split Federated Learning
Robust Client-Server Watermarking for Split Federated Learning
Jiaxiong Tang
Zhengchunmin Dai
Liantao Wu
Peng Sun
Honglong Chen
Zhenfu Cao
FedML
342
0
0
17 Nov 2025
Accuracy is Not Enough: Poisoning Interpretability in Federated Learning via Color Skew
Accuracy is Not Enough: Poisoning Interpretability in Federated Learning via Color Skew
Farhin Farhad Riya
Shahinul Hoque
J. Sun
Olivera Kotevska
AAMLFedMLFAtt
503
0
0
17 Nov 2025
Toward Dignity-Aware AI: Next-Generation Elderly Monitoring from Fall Detection to ADL
Toward Dignity-Aware AI: Next-Generation Elderly Monitoring from Fall Detection to ADL
Xun Shao
Aoba Otani
Yuto Hirasuka
Runji Cai
Seng W. Loke
93
0
0
12 Nov 2025
Federated Learning for Pediatric Pneumonia Detection: Enabling Collaborative Diagnosis Without Sharing Patient Data
Federated Learning for Pediatric Pneumonia Detection: Enabling Collaborative Diagnosis Without Sharing Patient Data
Daniel M. Jimenez-Gutierrez
Enrique Zuazua
Joaquin Del Rio
Oleksii Sliusarenko
Xabi Uribe-Etxebarria
136
0
0
12 Nov 2025
PEOD: A Pixel-Aligned Event-RGB Benchmark for Object Detection under Challenging Conditions
PEOD: A Pixel-Aligned Event-RGB Benchmark for Object Detection under Challenging Conditions
Luoping Cui
Hanqing Liu
Mingjie Liu
Endian Lin
Donghong Jiang
Yuhao Wang
Chuang Zhu
72
0
0
11 Nov 2025
FedNET: Federated Learning for Proactive Traffic Management and Network Capacity Planning
FedNET: Federated Learning for Proactive Traffic Management and Network Capacity Planning
Saroj Kumar Panda
Basabdatta Palit
Sadananda Behera
113
0
0
10 Nov 2025
Adversarial Node Placement in Decentralized Federated Learning: Maximum Spanning-Centrality Strategy and Performance Analysis
Adversarial Node Placement in Decentralized Federated Learning: Maximum Spanning-Centrality Strategy and Performance AnalysisIEEE Internet of Things Journal (IEEE IoT J.), 2025
Adam Piaseczny
Eric Ruzomberka
Rohit Parasnis
Christopher G. Brinton
138
0
0
10 Nov 2025
PraxiMLP: A Threshold-based Framework for Efficient Three-Party MLP with Practical Security
PraxiMLP: A Threshold-based Framework for Efficient Three-Party MLP with Practical Security
Tianle Tao
Shizhao Peng
Haogang Zhu
68
0
0
08 Nov 2025
Private Map-Secure Reduce: Infrastructure for Efficient AI Data Markets
Private Map-Secure Reduce: Infrastructure for Efficient AI Data Markets
Sameer Wagh
Kenneth Stibler
Shubham Gupta
Lacey Strahm
Irina Bejan
...
Dave Buckley
Ruchi Bhatia
Jack Bandy
Aayush Agarwal
Andrew Trask
72
0
0
03 Nov 2025
Edge AI in Highly Volatile Environments: Is Fairness Worth the Accuracy Trade-off?
Edge AI in Highly Volatile Environments: Is Fairness Worth the Accuracy Trade-off?
Obaidullah Zaland
Feras M. Awaysheh
Sawsan Al Zubi
Abdul Rahman Safi
Monowar Bhuyan
AAML
98
0
0
03 Nov 2025
Bayesian Coreset Optimization for Personalized Federated Learning
Bayesian Coreset Optimization for Personalized Federated LearningInternational Conference on Learning Representations (ICLR), 2025
Prateek Chanda
Shrey Modi
Ganesh Ramakrishnan
FedML
112
2
0
03 Nov 2025
Communication-Constrained Private Decentralized Online Personalized Mean Estimation
Communication-Constrained Private Decentralized Online Personalized Mean Estimation
Yauhen Yakimenka
Hsuan-Yin Lin
E. Rosnes
J. Kliewer
FedML
94
0
0
02 Nov 2025
Machine learning-based cloud resource allocation algorithms: a comprehensive comparative review
Machine learning-based cloud resource allocation algorithms: a comprehensive comparative review
Deep Bodra
Sushil Khairnar
36
0
0
31 Oct 2025
FedSelect-ME: A Secure Multi-Edge Federated Learning Framework with Adaptive Client Scoring
FedSelect-ME: A Secure Multi-Edge Federated Learning Framework with Adaptive Client Scoring
Hanie Vatani
Reza Ebrahimi Atani
FedML
73
0
0
29 Oct 2025
SGFusion: Stochastic Geographic Gradient Fusion in Federated Learning
SGFusion: Stochastic Geographic Gradient Fusion in Federated Learning
K. Nguyen
Khang Tran
Nhathai Phan
Cristian Borcea
R. Jin
Issa M. Khalil
FedML
307
0
0
27 Oct 2025
FedGPS: Statistical Rectification Against Data Heterogeneity in Federated Learning
FedGPS: Statistical Rectification Against Data Heterogeneity in Federated Learning
Zhiqin Yang
Yonggang Zhang
Chenxin Li
Yiu-ming Cheung
Bo Han
Yixuan Yuan
FedML
164
0
0
23 Oct 2025
Serverless GPU Architecture for Enterprise HR Analytics: A Production-Scale BDaaS Implementation
Serverless GPU Architecture for Enterprise HR Analytics: A Production-Scale BDaaS Implementation
Guilin Zhang
Wulan Guo
Ziqi Tan
Srinivas Vippagunta
Suchitra Raman
...
Ju Lin
Shang Liu
Mary Schladenhauffen
Jeffrey Luo
Hailong Jiang
100
0
0
22 Oct 2025
CLIP: Client-Side Invariant Pruning for Mitigating Stragglers in Secure Federated Learning
CLIP: Client-Side Invariant Pruning for Mitigating Stragglers in Secure Federated Learning
Anthony DiMaggio
Raghav Sharma
Gururaj Saileshwar
84
0
0
19 Oct 2025
Hierarchical Federated Unlearning for Large Language Models
Hierarchical Federated Unlearning for Large Language Models
Yisheng Zhong
Zhengbang Yang
Zhuangdi Zhu
MU
166
0
0
19 Oct 2025
Incentive-Based Federated Learning: Architectural Elements and Future Directions
Incentive-Based Federated Learning: Architectural Elements and Future Directions
Chanuka A.S. Hewa Kaluannakkage
Rajkumar Buyya
FedML
187
0
0
16 Oct 2025
Evolution of meta's llama models and parameter-efficient fine-tuning of large language models: a survey
Evolution of meta's llama models and parameter-efficient fine-tuning of large language models: a survey
Abdulhady Abas Abdullah
Arkaitz Zubiaga
Seyedali Mirjalili
Amir Gandomi
Fatemeh Daneshfar
Mohammadsadra Amini
Alan Salam Mohammed
Hadi Veisi
ALM
172
0
0
14 Oct 2025
FedMMKT:Co-Enhancing a Server Text-to-Image Model and Client Task Models in Multi-Modal Federated Learning
FedMMKT:Co-Enhancing a Server Text-to-Image Model and Client Task Models in Multi-Modal Federated Learning
Ningxin He
Yang Liu
Wei Sun
Xiaozhou Ye
Ye Ouyang
Tiegang Gao
Z. Zhang
92
0
0
14 Oct 2025
Research in Collaborative Learning Does Not Serve Cross-Silo Federated Learning in Practice
Research in Collaborative Learning Does Not Serve Cross-Silo Federated Learning in Practice
Kevin Kuo
Chhavi Yadav
Virginia Smith
FedML
156
0
0
14 Oct 2025
Multitask Learning with Learned Task Relationships
Multitask Learning with Learned Task Relationships
Zirui Wan
Stefan Vlaski
85
0
0
12 Oct 2025
FLAMMABLE: A Multi-Model Federated Learning Framework with Multi-Model Engagement and Adaptive Batch Sizes
FLAMMABLE: A Multi-Model Federated Learning Framework with Multi-Model Engagement and Adaptive Batch Sizes
Shouxu Lin
Zimeng Pan
Yuhang Yao
Haeyoung Noh
Pei Zhang
Carlee Joe-Wong
57
0
0
12 Oct 2025
FedDTRE: Federated Dialogue Generation Models Powered by Trustworthiness Evaluation
FedDTRE: Federated Dialogue Generation Models Powered by Trustworthiness Evaluation
Shule Lu
LingXiang Wang
Sijia Wen
Ziwei Wang
Hainan Zhang
FedML
108
0
0
09 Oct 2025
Federated Learning for Surgical Vision in Appendicitis Classification: Results of the FedSurg EndoVis 2024 Challenge
Federated Learning for Surgical Vision in Appendicitis Classification: Results of the FedSurg EndoVis 2024 Challenge
Max Kirchner
Hanna Hoffmann
Alexander C. Jenke
Oliver Saldanha
Kevin Pfeiffer
...
Danail Stoyanov
Jakob N. Kather
Fiona Kolbinger
S. Bodenstedt
Stefanie Speidel
FedML
149
0
0
06 Oct 2025
Privacy Preserved Federated Learning with Attention-Based Aggregation for Biometric Recognition
Privacy Preserved Federated Learning with Attention-Based Aggregation for Biometric Recognition
Kassahun Azezew
Minyechil Alehegn
Tsega Asresa
Bitew Mekuria
Tizazu Bayh
Ayenew Kassie
Amsalu Tesema
Animut Embiyale
84
0
0
01 Oct 2025
CAFL-L: Constraint-Aware Federated Learning with Lagrangian Dual Optimization for On-Device Language Models
CAFL-L: Constraint-Aware Federated Learning with Lagrangian Dual Optimization for On-Device Language Models
Dongqi Zheng
Wenjin Fu
80
0
0
29 Sep 2025
Enhancing Split Learning with Sharded and Blockchain-Enabled SplitFed Approaches
Enhancing Split Learning with Sharded and Blockchain-Enabled SplitFed Approaches
Amirreza Sokhankhosh
Khalid Hassan
Sara Rouhani
FedML
96
0
0
29 Sep 2025
Distributionally Robust Federated Learning with Outlier Resilience
Distributionally Robust Federated Learning with Outlier Resilience
Zifan Wang
Xinlei Yi
Xenia Konti
Michael M. Zavlanos
Karl H. Johansson
OOD
68
0
0
29 Sep 2025
Non-Linear Trajectory Modeling for Multi-Step Gradient Inversion Attacks in Federated Learning
Non-Linear Trajectory Modeling for Multi-Step Gradient Inversion Attacks in Federated Learning
Li Xia
Zheng Liu
Sili Huang
Wei Tang
Xuan Liu
Xuan Liu
AAML
116
1
0
26 Sep 2025
Adaptive Dual-Mode Distillation with Incentive Schemes for Scalable, Heterogeneous Federated Learning on Non-IID Data
Adaptive Dual-Mode Distillation with Incentive Schemes for Scalable, Heterogeneous Federated Learning on Non-IID Data
Zahid Iqbal
FedML
108
0
0
26 Sep 2025
AntiFLipper: A Secure and Efficient Defense Against Label-Flipping Attacks in Federated Learning
AntiFLipper: A Secure and Efficient Defense Against Label-Flipping Attacks in Federated Learning
Aashnan Rahman
Abid Hasan
Sherajul Arifin
Faisal Haque Bappy
Tahrim Hossain
Tariqul Islam
Abu Raihan Mostofa Kamal
M. Hossain
AAML
124
0
0
26 Sep 2025
PQFed: A Privacy-Preserving Quality-Controlled Federated Learning Framework
PQFed: A Privacy-Preserving Quality-Controlled Federated Learning Framework
Weiqi Yue
Wenbiao Li
Yuzhou Jiang
Anisa Halimi
Roger French
Erman Ayday
FedML
92
0
0
25 Sep 2025
Personalized Federated Dictionary Learning for Modeling Heterogeneity in Multi-site fMRI Data
Personalized Federated Dictionary Learning for Modeling Heterogeneity in Multi-site fMRI Data
Yipu Zhang
Chengshuo Zhang
Ziyu Zhou
Gang Qu
Hao Zheng
Yuping Wang
Hui Shen
H. Deng
FedML
84
0
0
25 Sep 2025
Generative Adversarial Networks Applied for Privacy Preservation in Biometric-Based Authentication and Identification
Generative Adversarial Networks Applied for Privacy Preservation in Biometric-Based Authentication and Identification
Lubos Mjachky
Ivan Homoliak
PICVGAN
184
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0
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FedFusion: Federated Learning with Diversity- and Cluster-Aware Encoders for Robust Adaptation under Label Scarcity
FedFusion: Federated Learning with Diversity- and Cluster-Aware Encoders for Robust Adaptation under Label Scarcity
Ferdinand Kahenga
A. Bagula
Patrick Sello
Sajal K. Das
FedML
76
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0
23 Sep 2025
A non-smooth regularization framework for learning over multitask graphs
A non-smooth regularization framework for learning over multitask graphs
Yara Zgheib
Luca Calatroni
Marc Antonini
Roula Nassif
77
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Global Prompt Refinement with Non-Interfering Attention Masking for One-Shot Federated Learning
Global Prompt Refinement with Non-Interfering Attention Masking for One-Shot Federated Learning
Zhuang Qi
Pan Yu
Lei Meng
Sijin Zhou
Han Yu
Xiaoxiao Li
Xiangxu Meng
FedMLVLM
206
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0
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Adaptive LoRA Experts Allocation and Selection for Federated Fine-Tuning
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Lei Wang
Jieming Bian
Letian Zhang
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186
2
0
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