Robust Aggregation for Federated Learning

31 December 2019

Papers citing "Robust Aggregation for Federated Learning"

50 / 269 papers shown

Title
FNBench: Benchmarking Robust Federated Learning against Noisy Labels Xuefeng Jiang Jia Li Nannan Wu Z. F. Wu Xujing Li Sheng Sun Gang Xu Y. Wang Qi Li Min Liu FedML 28 2 0 10 May 2025
Privacy-aware Berrut Approximated Coded Computing applied to general distributed learning Xavier Martínez-Luaña M. Fernández-Veiga R. Redondo Ana Fernández Vilas FedML 19 0 0 10 May 2025
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 47 0 0 08 May 2025
Bayesian Robust Aggregation for Federated Learning Aleksandr Karakulev Usama Zafar Salman Toor Prashant Singh FedML 31 0 0 05 May 2025
Financial Data Analysis with Robust Federated Logistic Regression Kun Yang Nikhil Krishnan Sanjeev Kulkarni FedML 62 0 0 28 Apr 2025
GRANITE : a Byzantine-Resilient Dynamic Gossip Learning Framework Yacine Belal Mohamed Maouche Sonia Ben Mokhtar Anthony Simonet-Boulogne 30 0 0 24 Apr 2025
Local Data Quantity-Aware Weighted Averaging for Federated Learning with Dishonest Clients Leming Wu Yaochu Jin K. Hao Han Yu FedML 38 0 0 17 Apr 2025
Approximate Agreement Algorithms for Byzantine Collaborative Learning Tijana Milentijević Mélanie Cambus Darya Melnyk Stefan Schmid FedML 39 0 0 02 Apr 2025
A Randomized Zeroth-Order Hierarchical Framework for Heterogeneous Federated Learning Yuyang Qiu Kibaek Kim Farzad Yousefian FedML 54 0 0 02 Apr 2025
Robust Federated Learning Against Poisoning Attacks: A GAN-Based Defense Framework Usama Zafar André Teixeira Salman Toor FedML AAML 47 0 0 26 Mar 2025
FedTilt: Towards Multi-Level Fairness-Preserving and Robust Federated Learning Binghui Zhang Luis Mares De La Cruz Binghui Wang FedML 36 0 0 15 Mar 2025
Federated Smoothing ADMM for Localization Reza Mirzaeifard Ashkan Moradi Masahiro Yukawa Stefan Werner FedML 43 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 43 0 0 13 Mar 2025
Detecting Backdoor Attacks in Federated Learning via Direction Alignment Inspection Jiahao Xu Zikai Zhang Rui Hu AAML FedML Presented at ResearchTrend Connect \| FedML on 28 Mar 2025 139 0 0 11 Mar 2025
Runtime Backdoor Detection for Federated Learning via Representational Dissimilarity Analysis X. Zhang Xiaoyong Xue Xiaoning Du Xiaofei Xie Y. Liu Meng Sun FedML AAML 60 0 0 06 Mar 2025
Controlled privacy leakage propagation throughout overlapping grouped learning Shahrzad Kiani Franziska Boenisch S. Draper FedML 72 0 0 06 Mar 2025
A Lightweight and Secure Deep Learning Model for Privacy-Preserving Federated Learning in Intelligent Enterprises Reza Fotohi Fereidoon Shams Aliee Bahar Farahani FedML 65 1 0 03 Mar 2025
FedSV: Byzantine-Robust Federated Learning via Shapley Value Khaoula Otmani Rachid Elazouzi Vincent Labatut FedML AAML 78 2 0 24 Feb 2025
FedNIA: Noise-Induced Activation Analysis for Mitigating Data Poisoning in FL Ehsan Hallaji R. Razavi-Far M. Saif AAML 38 0 0 23 Feb 2025
Decentralized and Robust Privacy-Preserving Model Using Blockchain-Enabled Federated Deep Learning in Intelligent Enterprises Reza Fotohi Fereidoon Shams Aliee Bahar Farahani FedML 72 8 0 18 Feb 2025
FedEAT: A Robustness Optimization Framework for Federated LLMs Yahao Pang Xingyuan Wu Xiaojin Zhang Wei Chen Hai Jin FedML 77 0 0 17 Feb 2025
Dual Defense: Enhancing Privacy and Mitigating Poisoning Attacks in Federated Learning Runhua Xu Shiqi Gao Chao Li J. Joshi Jianxin Li 35 2 0 08 Feb 2025
Decoding FL Defenses: Systemization, Pitfalls, and Remedies M. A. Khan Virat Shejwalkar Yasra Chandio Amir Houmansadr Fatima M. Anwar AAML 38 0 0 03 Feb 2025
FL-APU: A Software Architecture to Ease Practical Implementation of Cross-Silo Federated Learning F. Stricker J. A. Peregrina D. Bermbach C. Zirpins FedML 69 0 0 31 Jan 2025
ExclaveFL: Providing Transparency to Federated Learning using Exclaves Jinnan Guo Kapil Vaswani Andrew J. Paverd Peter R. Pietzuch FedML 62 0 0 13 Dec 2024
A cautionary tale on the cost-effectiveness of collaborative AI in real-world medical applications Francesco Cremonesi Lucia Innocenti Sebastien Ourselin Vicky Goh Michela Antonelli Marco Lorenzi FedML 99 0 0 09 Dec 2024
PEFT-as-an-Attack! Jailbreaking Language Models during Federated Parameter-Efficient Fine-Tuning Shenghui Li Edith C. H. Ngai Fanghua Ye Thiemo Voigt SILM 86 6 0 28 Nov 2024
Formal Logic-guided Robust Federated Learning against Poisoning Attacks Dung T. Nguyen Ziyan An Taylor T. Johnson Meiyi Ma Kevin Leach AAML OOD 28 0 0 05 Nov 2024
FedBlock: A Blockchain Approach to Federated Learning against Backdoor Attacks D. Nguyen Phi Le Nguyen T. Nguyen Hieu H. Pham D. Tran FedML 19 0 0 05 Nov 2024
Identify Backdoored Model in Federated Learning via Individual Unlearning Jiahao Xu Zikai Zhang Rui Hu FedML AAML 44 1 0 01 Nov 2024
Byzantine-Robust Federated Learning: An Overview With Focus on Developing Sybil-based Attacks to Backdoor Augmented Secure Aggregation Protocols Atharv Deshmukh AAML FedML 25 0 0 30 Oct 2024
Meta Stackelberg Game: Robust Federated Learning against Adaptive and Mixed Poisoning Attacks Tao Li Henger Li Yunian Pan Tianyi Xu Zizhan Zheng Quanyan Zhu FedML 15 5 0 22 Oct 2024
Beyond Yao's Millionaires: Secure Multi-Party Computation of Non-Polynomial Functions Seyed Reza Hoseini Najarkolaei M. M. Mojahedian M. R. Aref 16 0 0 22 Oct 2024
On-device Federated Learning in Smartphones for Detecting Depression from Reddit Posts Mustofa Ahmed Abdul Muntakim Nawrin Tabassum Mohammad Asifur Rahim Faisal Muhammad Shah FedML 18 0 0 17 Oct 2024
FedCAP: Robust Federated Learning via Customized Aggregation and Personalization Youpeng Li X. Wang Fuxun Yu Lichao Sun Wenbin Zhang Xuyu Wang FedML 30 0 0 16 Oct 2024
TPFL: A Trustworthy Personalized Federated Learning Framework via Subjective Logic Jinqian Chen Jihua Zhu 21 0 0 16 Oct 2024
FRIDA: Free-Rider Detection using Privacy Attacks Pol G. Recasens Ádám Horváth Alberto Gutierrez-Torre Jordi Torres Josep Ll. Berral Balázs Pejó FedML 19 0 0 07 Oct 2024
EAB-FL: Exacerbating Algorithmic Bias through Model Poisoning Attacks in Federated Learning Syed Irfan Ali Meerza Jian-Dong Liu 24 2 0 02 Oct 2024
Byzantine-Robust Aggregation for Securing Decentralized Federated Learning Diego Cajaraville-Aboy Ana Fernández-Vilas R. Redondo Manuel Fernández-Veiga 13 2 0 26 Sep 2024
The poison of dimensionality Lê-Nguyên Hoang 23 2 0 25 Sep 2024
A Multi-Level Approach for Class Imbalance Problem in Federated Learning for Remote Industry 4.0 Applications R. Hussain Mohsen Amini Salehi FedML 23 0 0 24 Sep 2024
FeDETR: a Federated Approach for Stenosis Detection in Coronary Angiography Raffaele Mineo Amelia Sorrenti Federica Proietto Salanitri MedIm 18 0 0 21 Sep 2024
Privacy-Preserving Distributed Maximum Consensus Without Accuracy Loss Wenrui Yu Richard Heusdens Jun Pang Qiongxiu Li 18 3 0 16 Sep 2024
Byzantine-Robust and Communication-Efficient Distributed Learning via Compressed Momentum Filtering Changxin Liu Yanghao Li Yuhao Yi Karl H. Johansson FedML 26 0 0 13 Sep 2024
Achieving Byzantine-Resilient Federated Learning via Layer-Adaptive Sparsified Model Aggregation Jiahao Xu Zikai Zhang Rui Hu 29 4 0 02 Sep 2024
Byzantine-resilient Federated Learning Employing Normalized Gradients on Non-IID Datasets Shiyuan Zuo Xingrun Yan Rongfei Fan Li Shen Puning Zhao Jie Xu Han Hu FedML 23 1 0 18 Aug 2024
A survey on secure decentralized optimization and learning Changxin Liu Nicola Bastianello Wei Huo Yang Shi Karl H. Johansson 26 1 0 16 Aug 2024
LiD-FL: Towards List-Decodable Federated Learning Hong Liu Liren Shan Han Bao Ronghui You Yuhao Yi Jiancheng Lv FedML 33 0 0 09 Aug 2024
Efficient Byzantine-Robust and Provably Privacy-Preserving Federated Learning Chenfei Nie Qiang Li Yuxin Yang Yuede Ji Binghui Wang 37 1 0 29 Jul 2024
On ADMM in Heterogeneous Federated Learning: Personalization, Robustness, and Fairness Shengkun Zhu Jinshan Zeng Sheng Wang Yuan Sun Xiaodong Li Yuan Yao Zhiyong Peng 36 0 0 23 Jul 2024