Robust Aggregation for Federated Learning

31 December 2019

Papers citing "Robust Aggregation for Federated Learning"

50 / 269 papers shown

Title
Tackling Selfish Clients in Federated Learning Andrea Augello Ashish Gupta G. Re Sajal K. Das FedML 18 0 0 22 Jul 2024
Harvesting Private Medical Images in Federated Learning Systems with Crafted Models Shanghao Shi Md Shahedul Haque Abhijeet Parida M. Linguraru Y. T. Hou Syed Muhammad Anwar W. Lou FedML 22 3 0 13 Jul 2024
Combining Federated Learning and Control: A Survey Jakob Weber Markus Gurtner A. Lobe Adrian Trachte Andreas Kugi FedML AI4CE 26 2 0 12 Jul 2024
PriRoAgg: Achieving Robust Model Aggregation with Minimum Privacy Leakage for Federated Learning Sizai Hou Songze Li Tayyebeh Jahani-Nezhad Giuseppe Caire FedML 23 1 0 12 Jul 2024
DART: A Solution for Decentralized Federated Learning Model Robustness Analysis Chao Feng Alberto Huertas Celdrán Jan von der Assen Enrique Tomás Martínez Beltrán Gérome Bovet Burkhard Stiller OOD AAML 39 8 0 11 Jul 2024
Threats and Defenses in Federated Learning Life Cycle: A Comprehensive Survey and Challenges Yanli Li Zhongliang Guo Nan Yang Huaming Chen Dong Yuan Weiping Ding FedML 29 2 0 09 Jul 2024
A Whole-Process Certifiably Robust Aggregation Method Against Backdoor Attacks in Federated Learning Anqi Zhou Yezheng Liu Yidong Chai Hongyi Zhu Xinyue Ge Yuanchun Jiang Meng Wang AAML 31 0 0 30 Jun 2024
Private Geometric Median Mahdi Haghifam Thomas Steinke Jonathan R. Ullman 26 0 0 11 Jun 2024
Certifiably Byzantine-Robust Federated Conformal Prediction Mintong Kang Zhen Lin Jimeng Sun Cao Xiao Bo-wen Li FedML 26 3 0 04 Jun 2024
A Novel Defense Against Poisoning Attacks on Federated Learning: LayerCAM Augmented with Autoencoder Jingjing Zheng Xin Yuan Kai Li Wei Ni Eduardo Tovar Jon Crowcroft FedML AAML 33 0 0 02 Jun 2024
ACE: A Model Poisoning Attack on Contribution Evaluation Methods in Federated Learning Zhangchen Xu Fengqing Jiang Luyao Niu Jinyuan Jia Bo Li Radha Poovendran FedML 29 1 0 31 May 2024
Cross-Training with Multi-View Knowledge Fusion for Heterogenous Federated Learning Zhuang Qi Lei Meng Weihao He Ruohan Zhang Yu Wang Xin Qi Xiangxu Meng FedML 28 4 0 30 May 2024
Federated Behavioural Planes: Explaining the Evolution of Client Behaviour in Federated Learning Dario Fenoglio Gabriele Dominici Pietro Barbiero Alberto Tonda M. Gjoreski Marc Langheinrich FedML 29 0 0 24 May 2024
Decaf: Data Distribution Decompose Attack against Federated Learning Zhiyang Dai Chunyi Zhou Anmin Fu 19 2 0 24 May 2024
RFLPA: A Robust Federated Learning Framework against Poisoning Attacks with Secure Aggregation Peihua Mai Ran Yan Yan Pang FedML 33 5 0 24 May 2024
Fault Tolerant ML: Efficient Meta-Aggregation and Synchronous Training T. Dahan Kfir Y. Levy 31 1 0 23 May 2024
EmInspector: Combating Backdoor Attacks in Federated Self-Supervised Learning Through Embedding Inspection Yuwen Qian Shuchi Wu Kang Wei Ming Ding Di Xiao Tao Xiang Chuan Ma Song Guo FedML AAML 22 0 0 21 May 2024
Federated Learning With Energy Harvesting Devices: An MDP Framework Kai Zhang Xu Cao 19 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 24 1 0 10 May 2024
Privacy-aware Berrut Approximated Coded Computing for Federated Learning Xavier Martínez Luana Rebeca P. Díaz Redondo M. Fernández-Veiga FedML 18 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 23 2 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 25 0 0 18 Apr 2024
Camera clustering for scalable stream-based active distillation Dani Manjah Davide Cacciarelli Christophe De Vleeschouwer Benoit Macq 28 1 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 24 1 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 19 0 0 09 Apr 2024
Byzantine-resilient Federated Learning With Adaptivity to Data Heterogeneity Shiyuan Zuo Xingrun Yan Rongfei Fan Han Hu Hangguan Shan Tony Q. S. Quek FedML AAML 39 6 0 20 Mar 2024
Private Aggregate Queries to Untrusted Databases Syed Mahbub Hafiz Chitrabhanu Gupta Warren Wnuck Brijesh Vora Chen-Nee Chuah 28 1 0 20 Mar 2024
Scalable Distributed Optimization of Multi-Dimensional Functions Despite Byzantine Adversaries K. Kuwaranancharoen Lei Xin S. Sundaram 22 4 0 11 Mar 2024
Enhancing Security in Federated Learning through Adaptive Consensus-Based Model Update Validation Zahir Alsulaimawi AAML FedML 25 2 0 05 Mar 2024
Federated Learning over Connected Modes Dennis Grinwald Philipp Wiesner Shinichi Nakajima FedML 40 0 0 05 Mar 2024
On the Conflict of Robustness and Learning in Collaborative Machine Learning Mathilde Raynal Carmela Troncoso 27 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 18 4 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 39 3 0 15 Feb 2024
OpenFedLLM: Training Large Language Models on Decentralized Private Data via Federated Learning Rui Ye Wenhao Wang Jingyi Chai Dihan Li Zexi Li Yinda Xu Yaxin Du Yanfeng Wang Siheng Chen ALM FedML AIFin 6 76 0 10 Feb 2024
Dynamic Byzantine-Robust Learning: Adapting to Switching Byzantine Workers Ron Dorfman Naseem Yehya Kfir Y. Levy 17 2 0 05 Feb 2024
SignSGD with Federated Defense: Harnessing Adversarial Attacks through Gradient Sign Decoding Chanho Park Namyoon Lee FedML AAML 20 1 0 02 Feb 2024
Decentralized Federated Learning: A Survey on Security and Privacy Ehsan Hallaji R. Razavi-Far M. Saif Boyu Wang Qiang Yang FedML 32 34 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 16 2 0 07 Jan 2024
Harnessing the Power of Federated Learning in Federated Contextual Bandits Chengshuai Shi Ruida Zhou Kun Yang Cong Shen FedML 16 0 0 26 Dec 2023
Attacking Byzantine Robust Aggregation in High Dimensions Sarthak Choudhary Aashish Kolluri Prateek Saxena AAML 20 1 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 25 19 0 27 Nov 2023
Attacks of fairness in Federated Learning Joseph Rance Filip Svoboda FedML 26 1 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 13 0 0 14 Nov 2023
Scale-MIA: A Scalable Model Inversion Attack against Secure Federated Learning via Latent Space Reconstruction Shanghao Shi Ning Wang Yang Xiao Chaoyu Zhang Yi Shi Y. T. Hou W. Lou 11 7 0 10 Nov 2023
FedRec+: Enhancing Privacy and Addressing Heterogeneity in Federated Recommendation Systems Lin Wang Zhichao Wang Xi Leng Xiaoying Tang 10 1 0 31 Oct 2023
Label Poisoning is All You Need Rishi Jha J. Hayase Sewoong Oh AAML 19 28 0 29 Oct 2023
Robust and Actively Secure Serverless Collaborative Learning 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 15 2 0 25 Oct 2023
Online Robust Mean Estimation Daniel M. Kane Ilias Diakonikolas Hanshen Xiao Sihan Liu OOD 11 2 0 24 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 32 5 0 15 Oct 2023
Sentinel: An Aggregation Function to Secure Decentralized Federated Learning Chao Feng Alberto Huertas Celdrán Janosch Baltensperger Enrique Tomás Martínez Beltrán Gérome Bovet Burkhard Stiller 27 6 0 12 Oct 2023