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Robust Aggregation for Federated Learning
v1v2 (latest)

Robust Aggregation for Federated Learning

IEEE Transactions on Signal Processing (IEEE Trans. Signal Process.), 2019
31 December 2019
Krishna Pillutla
Sham Kakade
Zaïd Harchaoui
    FedML
ArXiv (abs)PDFHTML

Papers citing "Robust Aggregation for Federated Learning"

50 / 303 papers shown
Title
FedPoisonTTP: A Threat Model and Poisoning Attack for Federated Test-Time Personalization
FedPoisonTTP: A Threat Model and Poisoning Attack for Federated Test-Time Personalization
Md Akil Raihan Iftee
Syed Md. Ahnaf Hasan
Amin Ahsan Ali
A. Rahman
Sajib Mistry
Aneesh Krishna
AAMLFedMLSILMTTA
214
0
0
24 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
391
0
0
17 Nov 2025
Contact Wasserstein Geodesics for Non-Conservative Schrödinger Bridges
Contact Wasserstein Geodesics for Non-Conservative Schrödinger Bridges
Andrea Testa
Søren Hauberg
Tamim Asfour
Leonel Rozo
69
2
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
102
0
0
10 Nov 2025
Fast, Private, and Protected: Safeguarding Data Privacy and Defending Against Model Poisoning Attacks in Federated Learning
Fast, Private, and Protected: Safeguarding Data Privacy and Defending Against Model Poisoning Attacks in Federated LearningInternational Symposium on Computers and Communications (ISCC), 2024
Nicolas Riccieri Gardin Assumpcao
Leandro Villas
FedML
140
2
0
04 Nov 2025
RobustFSM: Submodular Maximization in Federated Setting with Malicious Clients
RobustFSM: Submodular Maximization in Federated Setting with Malicious Clients
Duc A. Tran
Dung Truong
Duy Le
FedML
120
0
0
03 Nov 2025
ConceptScope: Characterizing Dataset Bias via Disentangled Visual Concepts
ConceptScope: Characterizing Dataset Bias via Disentangled Visual Concepts
Jinho Choi
Hyesu Lim
Steffen Schneider
Jaegul Choo
76
0
0
30 Oct 2025
Trade-off in Estimating the Number of Byzantine Clients in Federated Learning
Trade-off in Estimating the Number of Byzantine Clients in Federated Learning
Z. Chen
Su Zhang
Heng Huang
FedML
88
0
0
06 Oct 2025
Robust Federated Inference
Robust Federated Inference
Akash Dhasade
Sadegh Farhadkhani
R. Guerraoui
Nirupam Gupta
Maxime Jacovella
Anne-Marie Kermarrec
Rafael Pinot
FedML
183
0
0
30 Sep 2025
Lightweight and Robust Federated Data Valuation
Lightweight and Robust Federated Data Valuation
Guojun Tang
Jiayu Zhou
Mohammad Mamun
Steve Drew
TDIFedML
107
0
0
29 Sep 2025
H+: An Efficient Similarity-Aware Aggregation for Byzantine Resilient Federated Learning
H+: An Efficient Similarity-Aware Aggregation for Byzantine Resilient Federated Learning
Shiyuan Zuo
Rongfei Fan
Cheng Zhan
Jie Xu
P. Zhao
Han Hu
AAML
72
0
0
29 Sep 2025
DroneFL: Federated Learning for Multi-UAV Visual Target Tracking
DroneFL: Federated Learning for Multi-UAV Visual Target Tracking
Xiaofan Yu
Yuwei Wu
Katherine Mao
Ye Tian
Vijay Kumar
Tajana Rosing
FedML
80
1
0
25 Sep 2025
Enhancing the Effectiveness and Durability of Backdoor Attacks in Federated Learning through Maximizing Task Distinction
Enhancing the Effectiveness and Durability of Backdoor Attacks in Federated Learning through Maximizing Task Distinction
Zhaoxin Wang
Handing Wang
Cong Tian
Yaochu Jin
FedMLAAML
80
0
0
23 Sep 2025
ProDiGy: Proximity- and Dissimilarity-Based Byzantine-Robust Federated Learning
ProDiGy: Proximity- and Dissimilarity-Based Byzantine-Robust Federated Learning
Sena Ergisi
Luis Maßny
Rawad Bitar
AAMLFedML
60
0
0
11 Sep 2025
On Evaluating the Poisoning Robustness of Federated Learning under Local Differential Privacy
On Evaluating the Poisoning Robustness of Federated Learning under Local Differential Privacy
Zijian Wang
Wei Tong
Tingxuan Han
Haoyu Chen
Tianling Zhang
Yunlong Mao
Sheng Zhong
AAML
68
0
0
05 Sep 2025
Delayed Momentum Aggregation: Communication-efficient Byzantine-robust Federated Learning with Partial Participation
Delayed Momentum Aggregation: Communication-efficient Byzantine-robust Federated Learning with Partial Participation
Kaoru Otsuka
Yuki Takezawa
Makoto Yamada
FedML
99
1
0
03 Sep 2025
Stealth by Conformity: Evading Robust Aggregation through Adaptive Poisoning
Stealth by Conformity: Evading Robust Aggregation through Adaptive Poisoning
Ryan McGaughey
Jesus Martinez del Rincon
Ihsen Alouani
FedML
56
0
0
03 Sep 2025
ZTFed-MAS2S: A Zero-Trust Federated Learning Framework with Verifiable Privacy and Trust-Aware Aggregation for Wind Power Data Imputation
ZTFed-MAS2S: A Zero-Trust Federated Learning Framework with Verifiable Privacy and Trust-Aware Aggregation for Wind Power Data ImputationIEEE Transactions on Industrial Informatics (IEEE TII), 2025
Yang Li
Hanjie Wang
Yuanzheng Li
Jiazheng Li
Zhaoyang Dong
52
1
0
24 Aug 2025
On the Security and Privacy of Federated Learning: A Survey with Attacks, Defenses, Frameworks, Applications, and Future Directions
On the Security and Privacy of Federated Learning: A Survey with Attacks, Defenses, Frameworks, Applications, and Future Directions
Daniel Gutiérrez
Yelizaveta Falkouskaya
Jose L. Hernandez-Ramos
Aris Anagnostopoulos
I. Chatzigiannakis
A. Vitaletti
FedML
100
2
0
19 Aug 2025
FIDELIS: Blockchain-Enabled Protection Against Poisoning Attacks in Federated Learning
FIDELIS: Blockchain-Enabled Protection Against Poisoning Attacks in Federated Learning
Jane Carney
Kushal Upreti
Gaby G. Dagher
Tim Andersen
56
0
0
11 Aug 2025
Coward: Toward Practical Proactive Federated Backdoor Defense via Collision-based Watermark
Coward: Toward Practical Proactive Federated Backdoor Defense via Collision-based Watermark
Wenjie Li
Siying Gu
Yiming Li
Kangjie Chen
Zhili Chen
Tianwei Zhang
Shu-Tao Xia
Dacheng Tao
AAML
106
1
0
04 Aug 2025
Boosting Generalization Performance in Model-Heterogeneous Federated Learning Using Variational Transposed Convolution
Boosting Generalization Performance in Model-Heterogeneous Federated Learning Using Variational Transposed Convolution
Ziru Niu
Hai Dong
•. A. K. Qin
FedML
153
0
0
03 Aug 2025
OptiGradTrust: Byzantine-Robust Federated Learning with Multi-Feature Gradient Analysis and Reinforcement Learning-Based Trust Weighting
OptiGradTrust: Byzantine-Robust Federated Learning with Multi-Feature Gradient Analysis and Reinforcement Learning-Based Trust Weighting
Mohammad Karami
Fatemeh Ghassemi
Hamed Kebriaei
Hamid Azadegan
AAML
70
1
0
31 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
126
3
0
21 Jul 2025
Incentivised Orchestrated Training Architecture (IOTA): A Technical Primer for Release
Incentivised Orchestrated Training Architecture (IOTA): A Technical Primer for Release
Felix Quinque
Alan Aboudib
Szymon Fonau
Rodrigo Lopez Portillo Alcocer
Brian McCrindle
Steffen Cruz
101
0
0
16 Jul 2025
BackFed: An Efficient & Standardized Benchmark Suite for Backdoor Attacks in Federated Learning
BackFed: An Efficient & Standardized Benchmark Suite for Backdoor Attacks in Federated Learning
Thinh Dao
Dung Thuy Nguyen
Khoa D. Doan
Kok-Seng Wong
FedMLSILM
80
0
0
07 Jul 2025
Graph Representation-based Model Poisoning on Federated Large Language Models
Graph Representation-based Model Poisoning on Federated Large Language Models
Hanlin Cai
Haofan Dong
Houtianfu Wang
Kai Li
Ozgur B. Akan
AAML
258
0
0
02 Jul 2025
Client Clustering Meets Knowledge Sharing: Enhancing Privacy and Robustness in Personalized Peer-to-Peer Learning
Client Clustering Meets Knowledge Sharing: Enhancing Privacy and Robustness in Personalized Peer-to-Peer Learning
Mohammad Maheri
Denys Herasymuk
Hamed Haddadi
99
0
0
25 Jun 2025
Private Aggregation for Byzantine-Resilient Heterogeneous Federated Learning
Maximilian Egger
Rawad Bitar
214
0
0
11 Jun 2025
One-shot Robust Federated Learning of Independent Component Analysis
One-shot Robust Federated Learning of Independent Component Analysis
Dian Jin
Xin Bing
Yuqian Zhang
FedML
247
0
0
26 May 2025
Robust Distributed Estimation: Extending Gossip Algorithms to Ranking and Trimmed Means
Robust Distributed Estimation: Extending Gossip Algorithms to Ranking and Trimmed Means
Anna Van Elst
Igor Colin
Nathan Huet
392
1
0
23 May 2025
FNBench: Benchmarking Robust Federated Learning against Noisy Labels
FNBench: Benchmarking Robust Federated Learning against Noisy Labels
Xuefeng Jiang
Jia Li
Nannan Wu
Z. F. Wu
Xujing Li
Sheng Sun
Gang Xu
Longji Xu
Qi Li
Min Liu
FedML
225
6
0
10 May 2025
Privacy-aware Berrut Approximated Coded Computing applied to general distributed learning
Privacy-aware Berrut Approximated Coded Computing applied to general distributed learning
Xavier Martínez-Luaña
M. Fernández-Veiga
R. Redondo
Ana Fernández Vilas
FedML
145
0
0
10 May 2025
Federated Learning for Cyber Physical Systems: A Comprehensive Survey
Federated Learning for Cyber Physical Systems: A Comprehensive Survey
Minh K. Quan
P. Pathirana
M. Wijayasundara
S. Setunge
Dinh C. Nguyen
Christopher G. Brinton
David J. Love
H. Vincent Poor
AI4CE
235
13
0
08 May 2025
Bayesian Robust Aggregation for Federated Learning
Bayesian Robust Aggregation for Federated Learning
Aleksandr Karakulev
Usama Zafar
Salman Toor
Prashant Singh
FedML
215
0
0
05 May 2025
Sparsification Under Siege: Defending Against Poisoning Attacks in Communication-Efficient Federated Learning
Sparsification Under Siege: Defending Against Poisoning Attacks in Communication-Efficient Federated Learning
Zhiyong Jin
Runhua Xu
Chong Li
Yunxing Liu
Jianxin Li
J. Joshi
AAMLFedML
491
0
0
30 Apr 2025
Financial Data Analysis with Robust Federated Logistic Regression
Financial Data Analysis with Robust Federated Logistic Regression
Kun Yang
Nikhil Krishnan
Sanjeev Kulkarni
FedML
185
0
0
28 Apr 2025
GRANITE : a Byzantine-Resilient Dynamic Gossip Learning Framework
GRANITE : a Byzantine-Resilient Dynamic Gossip Learning Framework
Yacine Belal
Mohamed Maouche
Sonia Ben Mokhtar
Anthony Simonet-Boulogne
247
0
0
24 Apr 2025
Local Data Quantity-Aware Weighted Averaging for Federated Learning with Dishonest Clients
Local Data Quantity-Aware Weighted Averaging for Federated Learning with Dishonest Clients
Leming Wu
Yaochu Jin
K. Hao
Han Yu
FedML
295
0
0
17 Apr 2025
A Randomized Zeroth-Order Hierarchical Framework for Heterogeneous Federated Learning
A Randomized Zeroth-Order Hierarchical Framework for Heterogeneous Federated Learning
Yuyang Qiu
Kibaek Kim
Farzad Yousefian
FedML
380
0
0
02 Apr 2025
Approximate Agreement Algorithms for Byzantine Collaborative Learning
Approximate Agreement Algorithms for Byzantine Collaborative LearningACM Symposium on Parallelism in Algorithms and Architectures (SPAA), 2025
Tijana Milentijević
Mélanie Cambus
Darya Melnyk
Stefan Schmid
FedML
323
1
0
02 Apr 2025
Byzantine-Robust Federated Learning Using Generative Adversarial Networks
Byzantine-Robust Federated Learning Using Generative Adversarial Networks
Usama Zafar
André Teixeira
Salman Toor
FedMLAAML
266
1
0
26 Mar 2025
FedTilt: Towards Multi-Level Fairness-Preserving and Robust Federated Learning
FedTilt: Towards Multi-Level Fairness-Preserving and Robust Federated Learning
Binghui Zhang
Luis Mares De La Cruz
Binghui Wang
FedML
132
0
0
15 Mar 2025
Federated Smoothing ADMM for Localization
Reza Mirzaeifard
Ashkan Moradi
Masahiro Yukawa
Stefan Werner
FedML
110
0
0
13 Mar 2025
FedPCA: Noise-Robust Fair Federated Learning via Performance-Capacity Analysis
Nannan Wu
Zengqiang Yan
Nong Sang
Li Yu
Chang Wen Chen
148
0
0
13 Mar 2025
Detecting Backdoor Attacks in Federated Learning via Direction Alignment Inspection
Detecting Backdoor Attacks in Federated Learning via Direction Alignment InspectionComputer Vision and Pattern Recognition (CVPR), 2025
Jiahao Xu
Zikai Zhang
Rui Hu
AAMLFedML
483
10
0
11 Mar 2025
Runtime Backdoor Detection for Federated Learning via Representational Dissimilarity AnalysisIEEE Transactions on Dependable and Secure Computing (IEEE TDSC), 2025
Xinming Zhang
Xiaoyong Xue
Xiaoning Du
Xiaofei Xie
Wenshu Fan
Meng Sun
FedMLAAML
185
1
0
06 Mar 2025
Controlled privacy leakage propagation throughout overlapping grouped learningIEEE Journal on Selected Areas in Information Theory (JSAIT), 2025
Shahrzad Kiani
Franziska Boenisch
S. Draper
FedML
250
0
0
06 Mar 2025
A Lightweight and Secure Deep Learning Model for Privacy-Preserving Federated Learning in Intelligent EnterprisesIEEE Internet of Things Journal (IEEE IoT J.), 2024
Reza Fotohi
Fereidoon Shams Aliee
Bahar Farahani
FedML
231
14
0
03 Mar 2025
FedSV: Byzantine-Robust Federated Learning via Shapley Value
FedSV: Byzantine-Robust Federated Learning via Shapley Value
Khaoula Otmani
Rachid Elazouzi
Vincent Labatut
FedMLAAML
376
8
0
24 Feb 2025
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