the latest in aiBeta

Robust Federated Learning

Robust federated learning (FL) aims to improve the resilience and accuracy of collaborative model training across decentralized devices while preserving data privacy. Current research heavily focuses on mitigating various attacks, including poisoning and gradient leakage, through techniques like secure aggregation, credibility management, and fine-grained learnable masks, often incorporating primal-dual optimization or knowledge distillation methods. These advancements are crucial for enabling trustworthy and reliable FL deployments in sensitive applications like medical diagnostics and network security, where data privacy and model robustness are paramount.

20papers

Papers

April 8, 2025

FedFeat+: A Robust Federated Learning Framework Through Federated Aggregation and Differentially Private Feature-Based Classifier Retraining
Mrityunjoy Gain, Kitae Kim, Avi Deb Raha, Apurba Adhikary, Eui-Nam Huh, Zhu Han, Choong Seon Hong
Kyung Hee University●Noakhali Science and Technology University●University of Houston
Data Aggregation Feature Extractor Fashion MNIST FedAvg Algorithm Federated Prompt Cooperation Robust Federated Learning

March 15, 2025

FedTilt: Towards Multi-Level Fairness-Preserving and Robust Federated Learning
Binghui Zhang, Luis Mares De La Cruz, Binghui Wang
Illinois Institue of T echnology
FAIR Data Robust Federated Learning Fairness Notion LeArning Abstract Local Fairness

March 13, 2025

FedPCA: Noise-Robust Fair Federated Learning via Performance-Capacity Analysis
Nannan Wu, Zengqiang Yan, Nong Sang, Li Yu, Chang Wen Chen
The Hong Kong Polytechnic University●Huazhong University of Science and Technology
Native Robustness Pairwise Loss General Analysis Robust Federated Learning

February 12, 2025

SLVR: Securely Leveraging Client Validation for Robust Federated Learning
Jihye Choi, Sai Rahul Rachuri, Ke Wang, Somesh Jha, Yizhen Wang
Zero Knowledge Robustness Trade Validation Report Robust Federated Learning LeArning Abstract Secure Multi Party Computation

December 28, 2024

A Robust Federated Learning Framework for Undependable Devices at Scale
Shilong Wang, Jianchun Liu, Hongli Xu, Chunming Qiao, Huarong Deng, Qiuye Zheng, Jiantao Gong
Visual Analogue Scale Robust Federated Learning Staleness Problem

November 5, 2024

Formal Logic-guided Robust Federated Learning against Poisoning Attacks
Dung Thuy Nguyen, Ziyan An, Taylor T. Johnson, Meiyi Ma, Kevin Leach
Adversarial Behavior Poisoning Attack Adversarial Agent Model Level Defense Robust Federated Learning

October 23, 2024

ProFL: Performative Robust Optimal Federated Learning
Xue Zheng, Tian Xie, Xuwei Tan, Aylin Yener, Xueru Zhang, Ali Payani, Myungjin Lee
Robust Federated Learning Performative Prediction Federated Learning Data Distribution Shift

September 30, 2024

Leveraging Pre-trained Models for Robust Federated Learning for Kidney Stone Type Recognition
Ivan Reyes-Amezcua, Michael Rojas-Ruiz, Gilberto Ochoa-Ruiz, Andres Mendez-Vazquez, Christian Daul
Pre Trained Model Federated Learning Robust Federated Learning

May 24, 2024

RFLPA: A Robust Federated Learning Framework against Poisoning Attacks with Secure Aggregation
Peihua Mai, Ran Yan, Yan Pang
Secret Sharing Robust Federated Learning Federated Learning Secure Aggregation Robust Aggregation Poisoning Attack

May 20, 2024

Fed-Credit: Robust Federated Learning with Credibility Management
Jiayan Chen, Zhirong Qian, Tianhui Meng, Xitong Gao, Tian Wang, Weijia Jia
Adversarial Attack Credibility Assessment Robust Federated Learning

December 19, 2023

SkyMask: Attack-agnostic Robust Federated Learning with Fine-grained Learnable Masks
Peishen Yan, Hao Wang, Tao Song, Yang Hua, Ruhui Ma, Ningxin Hu, Mohammad R. Haghighat, Haibing Guan
Malicious Model Robust Federated Learning Byzantine Robust Federated Learning Fine Grained

September 22, 2023

Multiply Robust Federated Estimation of Targeted Average Treatment Effects
Larry Han, Zhu Shen, Jose Zubizarreta
Average Treatment Effect Covariate Shift Multi Center Study Multi Site Data Robust Federated Learning

August 31, 2023

Robust Networked Federated Learning for Localization
Reza Mirzaeifard, Naveen K. D. Venkategowda, Stefan Werner
Localization Focus Robust Federated Learning Convergent Algorithm

August 21, 2023

Federated Learning Robust to Byzantine Attacks: Achieving Zero Optimality Gap
Shiyuan Zuo, Rongfei Fan, Han Hu, Ning Zhang, Shimin Gong
Linear Convergence Byzantine Attack Robust Federated Learning Optimality Gap Robust Aggregation

July 25, 2023

Scaff-PD: Communication Efficient Fair and Robust Federated Learning
Yaodong Yu, Sai Praneeth Karimireddy, Yi Ma, Michael I. Jordan
Robust Federated Learning Robust Objective Native Robustness Communication Efficient Communication Efficiency

May 9, 2023

FedNoRo: Towards Noise-Robust Federated Learning by Addressing Class Imbalance and Label Noise Heterogeneity
Nannan Wu, Li Yu, Xuefeng Jiang, Kwang-Ting Cheng, Zengqiang Yan
Robust Federated Learning Label Noise Noisy Label Learning Class Imbalance

March 23, 2023

AI Models Close to your Chest: Robust Federated Learning Strategies for Multi-site CT
Edward H. Lee, Brendan Kelly, Emre Altinmakas, Hakan Dogan, Maryam Mohammadzadeh, Errol Colak, Steve Fu, Olivia Choudhury, Ujjwal Ratan+21
Robust Federated Learning Artificial Intelligence Model Data Heterogeneity

November 27, 2022

Federated Learning Attacks and Defenses: A Survey
Yao Chen, Yijie Gui, Hong Lin, Wensheng Gan, Yongdong Wu
Federated Learning Timely Survey Machine Learning Machine Learning Model Robust Federated Learning

October 23, 2022

FLIP: A Provable Defense Framework for Backdoor Mitigation in Federated Learning
Kaiyuan Zhang, Guanhong Tao, Qiuling Xu, Siyuan Cheng, Shengwei An, Yingqi Liu, Shiwei Feng, Guangyu Shen, Pin-Yu Chen, Shiqing Ma, Xiangyu Zhang
Negative Flip Robust Federated Learning Federated Learning Provable Defense Backdoor Attack Attack Success Rate

October 8, 2022

FedDef: Defense Against Gradient Leakage in Federated Learning-based Network Intrusion Detection Systems
Jiahui Chen, Yi Zhao, Qi Li, Xuewei Feng, Ke Xu
Robust Federated Learning Gradient Leakage Adversarial Attack Federated Learning Adversarial Traffic