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1912.13445
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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
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Papers citing
"Robust Aggregation for Federated Learning"
50 / 303 papers shown
Distributed Event-Based Learning via ADMM
Güner Dilsad Er
Sebastian Trimpe
Michael Muehlebach
FedML
409
3
0
17 May 2024
Concealing Backdoor Model Updates in Federated Learning by Trigger-Optimized Data Poisoning
Yujie Zhang
Neil Zhenqiang Gong
Michael K. Reiter
FedML
182
1
0
10 May 2024
Privacy-aware Berrut Approximated Coded Computing for Federated Learning
Xavier Martínez Luana
Rebeca P. Díaz Redondo
Manuel Fernández-Veiga
FedML
479
2
0
02 May 2024
Privacy-Preserving Aggregation for Decentralized Learning with Byzantine-Robustness
Ali Reza Ghavamipour
Benjamin Zi Hao Zhao
Oguzhan Ersoy
Fatih Turkmen
FedML
AAML
174
3
0
27 Apr 2024
FedMID: A Data-Free Method for Using Intermediate Outputs as a Defense Mechanism Against Poisoning Attacks in Federated Learning
Sungwon Han
Hyeonho Song
Sungwon Park
Meeyoung Cha
FedML
AAML
215
0
0
18 Apr 2024
Camera clustering for scalable stream-based active distillation
Dani Manjah
Davide Cacciarelli
Christophe De Vleeschouwer
Benoit Macq
220
2
0
16 Apr 2024
On the Efficiency of Privacy Attacks in Federated Learning
Nawrin Tabassum
Ka-Ho Chow
Xuyu Wang
Wenbin Zhang
Yanzhao Wu
FedML
139
5
0
15 Apr 2024
Aggressive or Imperceptible, or Both: Network Pruning Assisted Hybrid Byzantines in Federated Learning
Emre Ozfatura
Kerem Ozfatura
Alptekin Kupcu
Deniz Gunduz
AAML
194
0
0
09 Apr 2024
Private Aggregate Queries to Untrusted Databases
Syed Mahbub Hafiz
Chitrabhanu Gupta
Warren Wnuck
Brijesh Vora
Chen-Nee Chuah
145
1
0
20 Mar 2024
Federated Learning Resilient to Byzantine Attacks and Data Heterogeneity
Shiyuan Zuo
Xingrun Yan
Rongfei Fan
Han Hu
Hangguan Shan
Tony Q.S. Quek
Puning Zhao
AAML
FedML
512
6
0
20 Mar 2024
Scalable Distributed Optimization of Multi-Dimensional Functions Despite Byzantine Adversaries
IEEE Transactions on Signal and Information Processing over Networks (TSIPN), 2024
K. Kuwaranancharoen
Lei Xin
S. Sundaram
259
6
0
11 Mar 2024
Enhancing Security in Federated Learning through Adaptive Consensus-Based Model Update Validation
Zahir Alsulaimawi
AAML
FedML
113
6
0
05 Mar 2024
Federated Learning over Connected Modes
Dennis Grinwald
Philipp Wiesner
Shinichi Nakajima
FedML
599
2
0
05 Mar 2024
On the Conflict of Robustness and Learning in Collaborative Machine Learning
Mathilde Raynal
Carmela Troncoso
176
2
0
21 Feb 2024
Byzantine-Robust Federated Learning: Impact of Client Subsampling and Local Updates
Youssef Allouah
Sadegh Farhadkhani
R. Guerraoui
Nirupam Gupta
Rafael Pinot
Geovani Rizk
S. Voitovych
FedML
267
13
0
20 Feb 2024
FedRDF: A Robust and Dynamic Aggregation Function against Poisoning Attacks in Federated Learning
Enrique Mármol Campos
Aurora González-Vidal
José Luis Hernández Ramos
A. Gómez-Skarmeta
AAML
140
13
0
15 Feb 2024
OpenFedLLM: Training Large Language Models on Decentralized Private Data via Federated Learning
Knowledge Discovery and Data Mining (KDD), 2024
Rui Ye
Wenhao Wang
Jingyi Chai
Dihan Li
Zexi Li
Yinda Xu
Yaxin Du
Yanfeng Wang
Siheng Chen
ALM
FedML
AIFin
276
153
0
10 Feb 2024
Dynamic Byzantine-Robust Learning: Adapting to Switching Byzantine Workers
International Conference on Machine Learning (ICML), 2024
Ron Dorfman
Naseem Yehya
Kfir Y. Levy
288
5
0
05 Feb 2024
SignSGD with Federated Defense: Harnessing Adversarial Attacks through Gradient Sign Decoding
Chanho Park
Namyoon Lee
FedML
AAML
209
5
0
02 Feb 2024
Decentralized Federated Learning: A Survey on Security and Privacy
IEEE Transactions on Big Data (IEEE Trans. Big Data), 2024
Ehsan Hallaji
R. Razavi-Far
R. Razavi-Far
Boyu Wang
Qiang Yang
FedML
275
95
0
25 Jan 2024
Decentralized Federated Policy Gradient with Byzantine Fault-Tolerance and Provably Fast Convergence
Philip Jordan
Florian Grötschla
Flint Xiaofeng Fan
Roger Wattenhofer
FedML
183
6
0
07 Jan 2024
Harnessing the Power of Federated Learning in Federated Contextual Bandits
Chengshuai Shi
Ruida Zhou
Kun Yang
Cong Shen
FedML
210
0
0
26 Dec 2023
Attacking Byzantine Robust Aggregation in High Dimensions
Sarthak Choudhary
Aashish Kolluri
Prateek Saxena
AAML
234
3
0
22 Dec 2023
A Survey on Vulnerability of Federated Learning: A Learning Algorithm Perspective
Xianghua Xie
Chen Hu
Hanchi Ren
Jingjing Deng
FedML
AAML
280
35
0
27 Nov 2023
Attacks on fairness in Federated Learning
Joseph Rance
Filip Svoboda
FedML
224
2
0
21 Nov 2023
The Impact of Adversarial Node Placement in Decentralized Federated Learning Networks
Adam Piaseczny
Eric Ruzomberka
Rohit Parasnis
Christopher G. Brinton
FedML
259
2
0
14 Nov 2023
Scale-MIA: A Scalable Model Inversion Attack against Secure Federated Learning via Latent Space Reconstruction
Network and Distributed System Security Symposium (NDSS), 2023
Shanghao Shi
Ning Wang
Yang Xiao
Chaoyu Zhang
Yi Shi
Y. T. Hou
W. Lou
283
17
0
10 Nov 2023
FedRec+: Enhancing Privacy and Addressing Heterogeneity in Federated Recommendation Systems
Allerton Conference on Communication, Control, and Computing (Allerton), 2023
Lin Wang
Zhichao Wang
Xi Leng
Xiaoying Tang
203
1
0
31 Oct 2023
Label Poisoning is All You Need
Neural Information Processing Systems (NeurIPS), 2023
Rishi Jha
J. Hayase
Sewoong Oh
AAML
263
44
0
29 Oct 2023
Robust and Actively Secure Serverless Collaborative Learning
Neural Information Processing Systems (NeurIPS), 2023
Olive Franzese
Adam Dziedzic
Christopher A. Choquette-Choo
Mark R. Thomas
Muhammad Ahmad Kaleem
Stephan Rabanser
Cong Fang
Somesh Jha
Nicolas Papernot
Xiao Wang
OOD
222
5
0
25 Oct 2023
Online Robust Mean Estimation
ACM-SIAM Symposium on Discrete Algorithms (SODA), 2023
Daniel M. Kane
Ilias Diakonikolas
Hanshen Xiao
Sihan Liu
OOD
265
4
0
24 Oct 2023
Competitive Advantage Attacks to Decentralized Federated Learning
Yuqi Jia
Minghong Fang
Neil Zhenqiang Gong
FedML
304
1
0
20 Oct 2023
Adversarial Robustness Unhardening via Backdoor Attacks in Federated Learning
Taejin Kim
Jiarui Li
Shubhranshu Singh
Nikhil Madaan
Carlee Joe-Wong
FedML
227
3
0
17 Oct 2023
Communication Compression for Byzantine Robust Learning: New Efficient Algorithms and Improved Rates
Ahmad Rammal
Kaja Gruntkowska
Nikita Fedin
Eduard A. Gorbunov
Peter Richtárik
338
12
0
15 Oct 2023
Sentinel: An Aggregation Function to Secure Decentralized Federated Learning
European Conference on Artificial Intelligence (ECAI), 2023
Chao Feng
Alberto Huertas Celdrán
Janosch Baltensperger
Enrique Tomás Martínez Beltrán
Gérome Bovet
Burkhard Stiller
215
8
0
12 Oct 2023
FedSym: Unleashing the Power of Entropy for Benchmarking the Algorithms for Federated Learning
BigData Congress [Services Society] (BSS), 2023
Ensiye Kiyamousavi
Boris Kraychev
Ivan Koychev
FedML
184
0
0
11 Oct 2023
Kick Bad Guys Out! Conditionally Activated Anomaly Detection in Federated Learning with Zero-Knowledge Proof Verification
Shanshan Han
Wenxuan Wu
Baturalp Buyukates
Weizhao Jin
Qifan Zhang
Yuhang Yao
Salman Avestimehr
Chaoyang He
AAML
488
1
0
06 Oct 2023
Byzantine-Resilient Federated PCA and Low Rank Column-wise Sensing
IEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2023
Ankit Pratap Singh
Namrata Vaswani
422
1
0
25 Sep 2023
Robust Distributed Learning: Tight Error Bounds and Breakdown Point under Data Heterogeneity
Neural Information Processing Systems (NeurIPS), 2023
Youssef Allouah
R. Guerraoui
Nirupam Gupta
Rafael Pinot
Geovani Rizk
OOD
283
24
0
24 Sep 2023
SPFL: A Self-purified Federated Learning Method Against Poisoning Attacks
IEEE Transactions on Information Forensics and Security (IEEE TIFS), 2023
Zizhen Liu
Weiyang He
Chip-Hong Chang
Jing Ye
Huawei Li
Xiaowei Li
239
10
0
19 Sep 2023
FTA: Stealthy and Adaptive Backdoor Attack with Flexible Triggers on Federated Learning
Yanqi Qiao
Dazhuang Liu
Congwen Chen
Rui Wang
Kaitai Liang
FedML
AAML
246
2
0
31 Aug 2023
A Huber Loss Minimization Approach to Byzantine Robust Federated Learning
AAAI Conference on Artificial Intelligence (AAAI), 2023
Puning Zhao
Fei Yu
Zhiguo Wan
FedML
262
21
0
24 Aug 2023
Federated Learning Robust to Byzantine Attacks: Achieving Zero Optimality Gap
Shiyuan Zuo
Rongfei Fan
Han Hu
Ningsong Zhang
Shiming Gong
FedML
203
2
0
21 Aug 2023
Towards Attack-tolerant Federated Learning via Critical Parameter Analysis
IEEE International Conference on Computer Vision (ICCV), 2023
Sungwon Han
Sungwon Park
Fangzhao Wu
Sundong Kim
Bin Zhu
Xing Xie
Meeyoung Cha
FedML
161
20
0
18 Aug 2023
FLShield: A Validation Based Federated Learning Framework to Defend Against Poisoning Attacks
IEEE Symposium on Security and Privacy (IEEE S&P), 2023
Ehsanul Kabir
Zeyu Song
Md Rafi Ur Rashid
Shagufta Mehnaz
204
23
0
10 Aug 2023
SureFED: Robust Federated Learning via Uncertainty-Aware Inward and Outward Inspection
Nasimeh Heydaribeni
Ruisi Zhang
T. Javidi
Cristina Nita-Rotaru
F. Koushanfar
FedML
304
1
0
04 Aug 2023
Towards Federated Foundation Models: Scalable Dataset Pipelines for Group-Structured Learning
Neural Information Processing Systems (NeurIPS), 2023
Zachary B. Charles
Nicole Mitchell
Krishna Pillutla
Michael Reneer
Zachary Garrett
FedML
AI4CE
321
33
0
18 Jul 2023
FedDefender: Client-Side Attack-Tolerant Federated Learning
Knowledge Discovery and Data Mining (KDD), 2023
Sungwon Park
Sungwon Han
Fangzhao Wu
Sundong Kim
Bin Zhu
Xing Xie
Meeyoung Cha
FedML
AAML
251
35
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18 Jul 2023
Byzantine-Robust Distributed Online Learning: Taming Adversarial Participants in An Adversarial Environment
IEEE Transactions on Signal Processing (IEEE TSP), 2023
Xingrong Dong
Zhaoxian Wu
Qing Ling
Zhi Tian
AAML
293
19
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16 Jul 2023
The Geometric Median and Applications to Robust Mean Estimation
SIAM Journal on Mathematics of Data Science (SIMODS), 2023
Stanislav Minsker
Nate Strawn
257
10
0
06 Jul 2023
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