The Federation Strikes Back: A Survey of Federated Learning Privacy Attacks, Defenses, Applications, and Policy Landscape
Fuente:
arXiv
Saved in:
| Main Authors: | Zhao, Joshua C., Bagchi, Saurabh, Avestimehr, Salman, Chan, Kevin S., Chaterji, Somali, Dimitriadis, Dimitris, Li, Jiacheng, Li, Ninghui, Nourian, Arash, Roth, Holger R. |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
FEDLAD: Federated Evaluation of Deep Leakage Attacks and Defenses
by: Baglin, Isaac, et al.
Published: (2024)
by: Baglin, Isaac, et al.
Published: (2024)
TensorOpera Router: A Multi-Model Router for Efficient LLM Inference
by: Stripelis, Dimitris, et al.
Published: (2024)
by: Stripelis, Dimitris, et al.
Published: (2024)
Model Agnostic Defense against Adversarial Patch Attacks on Object Detection in Unmanned Aerial Vehicles
by: Pathak, Saurabh, et al.
Published: (2024)
by: Pathak, Saurabh, et al.
Published: (2024)
Federated Learning and Class Imbalances
by: Zhu, Siqi, et al.
Published: (2026)
by: Zhu, Siqi, et al.
Published: (2026)
Privacy as Commodity: MFG-RegretNet for Large-Scale Privacy Trading in Federated Learning
by: Sun, Kangkang, et al.
Published: (2026)
by: Sun, Kangkang, et al.
Published: (2026)
Federated Learning for Anomaly Detection in Energy Consumption Data: Assessing the Vulnerability to Adversarial Attacks
by: Telila, Yohannis Kifle, et al.
Published: (2025)
by: Telila, Yohannis Kifle, et al.
Published: (2025)
CCVA-FL: Cross-Client Variations Adaptive Federated Learning for Medical Imaging
by: Gupta, Sunny, et al.
Published: (2024)
by: Gupta, Sunny, et al.
Published: (2024)
FEDTAIL: Federated Long-Tailed Domain Generalization with Sharpness-Guided Gradient Matching
by: Gupta, Sunny, et al.
Published: (2025)
by: Gupta, Sunny, et al.
Published: (2025)
FedAlign: Federated Domain Generalization with Cross-Client Feature Alignment
by: Gupta, Sunny, et al.
Published: (2025)
by: Gupta, Sunny, et al.
Published: (2025)
UniVarFL: Uniformity and Variance Regularized Federated Learning for Heterogeneous Data
by: Gupta, Sunny, et al.
Published: (2025)
by: Gupta, Sunny, et al.
Published: (2025)
EM-Aware Physical Synthesis: Neural Inductor Modeling and Intelligent Placement & Routing for RF Circuits
by: Huang, Yilun, et al.
Published: (2026)
by: Huang, Yilun, et al.
Published: (2026)
FedStein: Enhancing Multi-Domain Federated Learning Through James-Stein Estimator
by: Gupta, Sunny, et al.
Published: (2024)
by: Gupta, Sunny, et al.
Published: (2024)
Complementarity, Augmentation, or Substitutivity? The Impact of Generative Artificial Intelligence on the U.S. Federal Workforce
by: Resh, William G., et al.
Published: (2025)
by: Resh, William G., et al.
Published: (2025)
A Privacy-Preserving Federated Learning Approach for Kernel methods
by: Hannemann, Anika, et al.
Published: (2023)
by: Hannemann, Anika, et al.
Published: (2023)
Federated Foundation Model for GI Endoscopy Images
by: Devkota, Alina, et al.
Published: (2025)
by: Devkota, Alina, et al.
Published: (2025)
Redefining Clustered Federated Learning for System Identification: The Path of ClusterCraft
by: Keçeci, Ertuğrul, et al.
Published: (2025)
by: Keçeci, Ertuğrul, et al.
Published: (2025)
Adaptive Latent-Space Constraints in Personalized Federated Learning
by: Ayromlou, Sana, et al.
Published: (2025)
by: Ayromlou, Sana, et al.
Published: (2025)
FedAttr: Towards Privacy-preserving Client-Level Attribution in Federated LLM Fine-tuning
by: Zhang, Su, et al.
Published: (2026)
by: Zhang, Su, et al.
Published: (2026)
Evaluation of Differential Privacy Mechanisms on Federated Learning
by: Varsani, Tejash
Published: (2025)
by: Varsani, Tejash
Published: (2025)
Analysis of Total Variation Minimization for Clustered Federated Learning
by: Jung, A.
Published: (2024)
by: Jung, A.
Published: (2024)
FedWCM: Unleashing the Potential of Momentum-based Federated Learning in Long-Tailed Scenarios
by: Li, Tianle, et al.
Published: (2025)
by: Li, Tianle, et al.
Published: (2025)
Ranking-Based At-Risk Student Prediction Using Federated Learning and Differential Features
by: Yoneda, Shunsuke, et al.
Published: (2025)
by: Yoneda, Shunsuke, et al.
Published: (2025)
Federated Single-Agent Robotics: Multi-Robot Coordination Without Intra-Robot Multi-Agent Fragmentation
by: Qin, Xue, et al.
Published: (2026)
by: Qin, Xue, et al.
Published: (2026)
RefiningGPT: Specialized language Models for Automated Refinery Unit-level Process Diagram Synthesis
by: Liu, Dongxiao, et al.
Published: (2026)
by: Liu, Dongxiao, et al.
Published: (2026)
PRECEPT: Planning Resilience via Experience, Context Engineering & Probing Trajectories A Unified Framework for Test-Time Adaptation with Compositional Rule Learning and Pareto-Guided Prompt Evolution
by: Shahmansoori, Arash
Published: (2026)
by: Shahmansoori, Arash
Published: (2026)
Exploring the Technology Landscape through Topic Modeling, Expert Involvement, and Reinforcement Learning
by: Nazari, Ali, et al.
Published: (2025)
by: Nazari, Ali, et al.
Published: (2025)
ADF-LoRA: Alternating Low-Rank Aggregation for Decentralized Federated Fine-Tuning
by: Wang, Xiaoyu, et al.
Published: (2025)
by: Wang, Xiaoyu, et al.
Published: (2025)
DeepC4: Deep Conditional Census-Constrained Clustering for Large-scale Multitask Spatial Disaggregation of Urban Morphology
by: Dimasaka, Joshua, et al.
Published: (2025)
by: Dimasaka, Joshua, et al.
Published: (2025)
Feasibility of Federated Learning from Client Databases with Different Brain Diseases and MRI Modalities
by: Wagner, Felix, et al.
Published: (2024)
by: Wagner, Felix, et al.
Published: (2024)
Federated Learning: From Theory to Practice
by: Jung, A.
Published: (2025)
by: Jung, A.
Published: (2025)
Federated Learning based on Self-Evolving Gaussian Clustering
by: Ožbot, Miha, et al.
Published: (2025)
by: Ožbot, Miha, et al.
Published: (2025)
Adversarial Attacks and Defenses in Fault Detection and Diagnosis: A Comprehensive Benchmark on the Tennessee Eastman Process
by: Pozdnyakov, Vitaliy, et al.
Published: (2024)
by: Pozdnyakov, Vitaliy, et al.
Published: (2024)
An Efficient Gradient-Based Inference Attack for Federated Learning
by: Montaña-Fernández, Pablo, et al.
Published: (2025)
by: Montaña-Fernández, Pablo, et al.
Published: (2025)
Federated Multi-Agent Mapping for Planetary Exploration
by: Szatmari, Tiberiu-Ioan, et al.
Published: (2024)
by: Szatmari, Tiberiu-Ioan, et al.
Published: (2024)
Interpreting Structured Perturbations in Image Protection Methods for Diffusion Models
by: Martin, Michael R., et al.
Published: (2025)
by: Martin, Michael R., et al.
Published: (2025)
MMiC: Mitigating Modality Incompleteness in Clustered Federated Learning
by: Yang, Lishan, et al.
Published: (2025)
by: Yang, Lishan, et al.
Published: (2025)
XFED: Non-Collusive Model Poisoning Attack Against Byzantine-Robust Federated Classifiers
by: Mouri, Israt Jahan, et al.
Published: (2026)
by: Mouri, Israt Jahan, et al.
Published: (2026)
Federated k-Means over Networks
by: Yang, Xu, et al.
Published: (2025)
by: Yang, Xu, et al.
Published: (2025)
Unveiling Hidden Threats: Using Fractal Triggers to Boost Stealthiness of Distributed Backdoor Attacks in Federated Learning
by: Wang, Jian, et al.
Published: (2025)
by: Wang, Jian, et al.
Published: (2025)
The Expert Strikes Back: Interpreting Mixture-of-Experts Language Models at Expert Level
by: Herbst, Jeremy, et al.
Published: (2026)
by: Herbst, Jeremy, et al.
Published: (2026)
Similar Items
-
FEDLAD: Federated Evaluation of Deep Leakage Attacks and Defenses
by: Baglin, Isaac, et al.
Published: (2024) -
TensorOpera Router: A Multi-Model Router for Efficient LLM Inference
by: Stripelis, Dimitris, et al.
Published: (2024) -
Model Agnostic Defense against Adversarial Patch Attacks on Object Detection in Unmanned Aerial Vehicles
by: Pathak, Saurabh, et al.
Published: (2024) -
Federated Learning and Class Imbalances
by: Zhu, Siqi, et al.
Published: (2026) -
Privacy as Commodity: MFG-RegretNet for Large-Scale Privacy Trading in Federated Learning
by: Sun, Kangkang, et al.
Published: (2026)