FedLAD: A Linear Algebra Based Data Poisoning Defence for Federated Learning
Fuente:
arXiv
Saved in:
| Main Authors: | Xiong, Qi, Dong, Hai, Sohrabi, Nasrin, Tari, Zahir |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
FedLAD: A Modular and Adaptive Testbed for Federated Log Anomaly Detection
by: Liao, Yihan, et al.
Published: (2025)
by: Liao, Yihan, et al.
Published: (2025)
Univariate to Multivariate: LLMs as Zero-Shot Predictors for Time-Series Forecasting
by: Madarasingha, Chamara, et al.
Published: (2025)
by: Madarasingha, Chamara, et al.
Published: (2025)
Slow is Fast! Dissecting Ethereum's Slow Liquidity Drain Scams
by: Tran, Minh Trung, et al.
Published: (2025)
by: Tran, Minh Trung, et al.
Published: (2025)
$π$QLB: A Privacy-preserving with Integrity-assuring Query Language for Blockchain
by: Sohrabi, Nasrin, et al.
Published: (2022)
by: Sohrabi, Nasrin, et al.
Published: (2022)
Proof-Carrying Fair Ordering: Asymmetric Verification for BFT via Incremental Graphs
by: Ren, Pengkun, et al.
Published: (2025)
by: Ren, Pengkun, et al.
Published: (2025)
How To Cook The Fragmented Rug Pull?
by: Tran, Minh Trung, et al.
Published: (2025)
by: Tran, Minh Trung, et al.
Published: (2025)
FreqFed: A Frequency Analysis-Based Approach for Mitigating Poisoning Attacks in Federated Learning
by: Fereidooni, Hossein, et al.
Published: (2023)
by: Fereidooni, Hossein, et al.
Published: (2023)
Meta-FL: A Novel Meta-Learning Framework for Optimizing Heterogeneous Model Aggregation in Federated Learning
by: Alsulaimawi, Zahir
Published: (2024)
by: Alsulaimawi, Zahir
Published: (2024)
LAD: Learning Advantage Distribution for Reasoning
by: Li, Wendi, et al.
Published: (2026)
by: Li, Wendi, et al.
Published: (2026)
FedReview: A Review Mechanism for Rejecting Poisoned Updates in Federated Learning
by: Zheng, Tianhang, et al.
Published: (2024)
by: Zheng, Tianhang, et al.
Published: (2024)
Data Poisoning and Leakage Analysis in Federated Learning
by: Wei, Wenqi, et al.
Published: (2024)
by: Wei, Wenqi, et al.
Published: (2024)
FedRecAttack: Model Poisoning Attack to Federated Recommendation
by: Rong, Dazhong, et al.
Published: (2022)
by: Rong, Dazhong, et al.
Published: (2022)
FedUP: Efficient Pruning-based Federated Unlearning for Model Poisoning Attacks
by: Romandini, Nicolò, et al.
Published: (2025)
by: Romandini, Nicolò, et al.
Published: (2025)
FedRDF: A Robust and Dynamic Aggregation Function against Poisoning Attacks in Federated Learning
by: Campos, Enrique Mármol, et al.
Published: (2024)
by: Campos, Enrique Mármol, et al.
Published: (2024)
Enhancing Security in Federated Learning through Adaptive Consensus-Based Model Update Validation
by: Alsulaimawi, Zahir
Published: (2024)
by: Alsulaimawi, Zahir
Published: (2024)
FedMID: A Data-Free Method for Using Intermediate Outputs as a Defense Mechanism Against Poisoning Attacks in Federated Learning
by: Han, Sungwon, et al.
Published: (2024)
by: Han, Sungwon, et al.
Published: (2024)
Deep Learning-Based Analysis of Precipitation Blocking at the Northwestern Iran Border with Comparative Insights from Utah, USA
by: Sohrabi, Mohammad
Published: (2025)
by: Sohrabi, Mohammad
Published: (2025)
FedEM: A Privacy-Preserving Framework for Concurrent Utility Preservation in Federated Learning
by: Xu, Mingcong, et al.
Published: (2025)
by: Xu, Mingcong, et al.
Published: (2025)
A Client-level Assessment of Collaborative Backdoor Poisoning in Non-IID Federated Learning
by: Lai, Phung, et al.
Published: (2025)
by: Lai, Phung, et al.
Published: (2025)
On Robustness of Linear Classifiers to Targeted Data Poisoning
by: Gupta, Nakshatra, et al.
Published: (2025)
by: Gupta, Nakshatra, et al.
Published: (2025)
One-Shot Federated Ridge Regression: Exact Recovery via Sufficient Statistic Aggregation
by: Alsulaimawi, Zahir
Published: (2026)
by: Alsulaimawi, Zahir
Published: (2026)
Nonconvex Penalized LAD Estimation in Partial Linear Models with DNNs: Asymptotic Analysis and Proximal Algorithms
by: Feng, Lechen, et al.
Published: (2025)
by: Feng, Lechen, et al.
Published: (2025)
A Linear Approach to Data Poisoning
by: Flynn, Donald, et al.
Published: (2025)
by: Flynn, Donald, et al.
Published: (2025)
Fed-TGAN: Federated Learning Framework for Synthesizing Tabular Data
by: Zhao, Zilong, et al.
Published: (2021)
by: Zhao, Zilong, et al.
Published: (2021)
Sybil-based Virtual Data Poisoning Attacks in Federated Learning
by: Zhu, Changxun, et al.
Published: (2025)
by: Zhu, Changxun, et al.
Published: (2025)
FedX: Adaptive Model Decomposition and Quantization for IoT Federated Learning
by: Lai, Phung, et al.
Published: (2025)
by: Lai, Phung, et al.
Published: (2025)
FedTrident: Resilient Road Condition Classification Against Poisoning Attacks in Federated Learning
by: Liu, Sheng, et al.
Published: (2026)
by: Liu, Sheng, et al.
Published: (2026)
FedGPS: Statistical Rectification Against Data Heterogeneity in Federated Learning
by: Yang, Zhiqin, et al.
Published: (2025)
by: Yang, Zhiqin, et al.
Published: (2025)
FedSheafHN: Personalized Federated Learning on Graph-structured Data
by: Liang, Wenfei, et al.
Published: (2024)
by: Liang, Wenfei, et al.
Published: (2024)
A Unified Linear Speedup Analysis of Federated Averaging and Nesterov FedAvg
by: Qu, Zhaonan, et al.
Published: (2020)
by: Qu, Zhaonan, et al.
Published: (2020)
Machine Learning-Based Comparative Analysis of Human and Economic Losses from Cold-Climate Mountain Floods: Case Studies of Zarindasht–Firouzkouh (Iran, 2022) and Houghton, Michigan (2018)
by: Sohrabi, Mohammad
Published: (2025)
by: Sohrabi, Mohammad
Published: (2025)
FedSPU: Personalized Federated Learning for Resource-constrained Devices with Stochastic Parameter Update
by: Niu, Ziru, et al.
Published: (2024)
by: Niu, Ziru, et al.
Published: (2024)
SplitFedZip: Learned Compression for Data Transfer Reduction in Split-Federated Learning
by: Shiranthika, Chamani, et al.
Published: (2024)
by: Shiranthika, Chamani, et al.
Published: (2024)
FedVeca: Federated Vectorized Averaging on Non-IID Data with Adaptive Bi-directional Global Objective
by: Luo, Ping, et al.
Published: (2022)
by: Luo, Ping, et al.
Published: (2022)
FedDRL: A Trustworthy Federated Learning Model Fusion Method Based on Staged Reinforcement Learning
by: Chen, Leiming, et al.
Published: (2023)
by: Chen, Leiming, et al.
Published: (2023)
FedEAT: A Robustness Optimization Framework for Federated LLMs
by: Pang, Yahao, et al.
Published: (2025)
by: Pang, Yahao, et al.
Published: (2025)
FedDPC : Handling Data Heterogeneity and Partial Client Participation in Federated Learning
by: Sen, Mrinmay, et al.
Published: (2025)
by: Sen, Mrinmay, et al.
Published: (2025)
FedPrism: Adaptive Personalized Federated Learning under Non-IID Data
by: Kumbhakar, Prakash, et al.
Published: (2026)
by: Kumbhakar, Prakash, et al.
Published: (2026)
FedGIG: Graph Inversion from Gradient in Federated Learning
by: Xiao, Tianzhe, et al.
Published: (2024)
by: Xiao, Tianzhe, et al.
Published: (2024)
FedDuA: Doubly Adaptive Federated Learning
by: Takakura, Shokichi, et al.
Published: (2025)
by: Takakura, Shokichi, et al.
Published: (2025)
Similar Items
-
FedLAD: A Modular and Adaptive Testbed for Federated Log Anomaly Detection
by: Liao, Yihan, et al.
Published: (2025) -
Univariate to Multivariate: LLMs as Zero-Shot Predictors for Time-Series Forecasting
by: Madarasingha, Chamara, et al.
Published: (2025) -
Slow is Fast! Dissecting Ethereum's Slow Liquidity Drain Scams
by: Tran, Minh Trung, et al.
Published: (2025) -
$π$QLB: A Privacy-preserving with Integrity-assuring Query Language for Blockchain
by: Sohrabi, Nasrin, et al.
Published: (2022) -
Proof-Carrying Fair Ordering: Asymmetric Verification for BFT via Incremental Graphs
by: Ren, Pengkun, et al.
Published: (2025)