FedQV: Leveraging Quadratic Voting in Federated Learning
Fuente:
arXiv
Saved in:
| Main Authors: | Chu, Tianyue, Laoutaris, Nikolaos |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
FedPoP: Federated Learning Meets Proof of Participation
by: İşler, Devriş, et al.
Published: (2025)
by: İşler, Devriş, et al.
Published: (2025)
FedPID: An Aggregation Method for Federated Learning
by: Mächler, Leon, et al.
Published: (2024)
by: Mächler, Leon, et al.
Published: (2024)
FedGIG: Graph Inversion from Gradient in Federated Learning
by: Xiao, Tianzhe, et al.
Published: (2024)
by: Xiao, Tianzhe, et al.
Published: (2024)
FedRE: Robust and Effective Federated Learning with Privacy Preference
by: Xiao, Tianzhe, et al.
Published: (2025)
by: Xiao, Tianzhe, et al.
Published: (2025)
FedGA: Federated Learning with Gradient Alignment for Error Asymmetry Mitigation
by: Xiao, Chenguang, et al.
Published: (2024)
by: Xiao, Chenguang, et al.
Published: (2024)
FedSSP: Federated Graph Learning with Spectral Knowledge and Personalized Preference
by: Tan, Zihan, et al.
Published: (2024)
by: Tan, Zihan, et al.
Published: (2024)
FedThief: Harming Others to Benefit Oneself in Self-Centered Federated Learning
by: Zhang, Xiangyu, et al.
Published: (2025)
by: Zhang, Xiangyu, et al.
Published: (2025)
FedBAP: Backdoor Defense via Benign Adversarial Perturbation in Federated Learning
by: Yan, Xinhai, et al.
Published: (2025)
by: Yan, Xinhai, et al.
Published: (2025)
FedMABA: Towards Fair Federated Learning through Multi-Armed Bandits Allocation
by: Wang, Zhichao, et al.
Published: (2024)
by: Wang, Zhichao, et al.
Published: (2024)
FedSurrogate: Backdoor Defense in Federated Learning via Layer Criticality and Surrogate Replacement
by: Abacha, Fatima Z., et al.
Published: (2026)
by: Abacha, Fatima Z., et al.
Published: (2026)
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)
FedMIA: An Effective Membership Inference Attack Exploiting "All for One" Principle in Federated Learning
by: Zhu, Gongxi, et al.
Published: (2024)
by: Zhu, Gongxi, et al.
Published: (2024)
SPriFed-OMP: A Differentially Private Federated Learning Algorithm for Sparse Basis Recovery
by: Mulay, Ajinkya Kiran, et al.
Published: (2024)
by: Mulay, Ajinkya Kiran, et al.
Published: (2024)
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)
FedML-HE: An Efficient Homomorphic-Encryption-Based Privacy-Preserving Federated Learning System
by: Jin, Weizhao, et al.
Published: (2023)
by: Jin, Weizhao, et al.
Published: (2023)
SLVR: Securely Leveraging Client Validation for Robust Federated Learning
by: Choi, Jihye, et al.
Published: (2025)
by: Choi, Jihye, et al.
Published: (2025)
FedSpaLLM: Federated Pruning of Large Language Models
by: Bai, Guangji, et al.
Published: (2024)
by: Bai, Guangji, 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)
FedIDM: Achieving Fast and Stable Convergence in Byzantine Federated Learning through Iterative Distribution Matching
by: Yang, He, et al.
Published: (2026)
by: Yang, He, et al.
Published: (2026)
FedTDP: A Privacy-Preserving and Unified Framework for Trajectory Data Preparation via Federated Learning
by: Zeng, Zhihao, et al.
Published: (2025)
by: Zeng, Zhihao, et al.
Published: (2025)
FedDetox: Robust Federated SLM Alignment via On-Device Data Sanitization
by: Zhu, Shunan, et al.
Published: (2026)
by: Zhu, Shunan, et al.
Published: (2026)
FedSiKD: Clients Similarity and Knowledge Distillation: Addressing Non-i.i.d. and Constraints in Federated Learning
by: Alsenani, Yousef, et al.
Published: (2024)
by: Alsenani, Yousef, et al.
Published: (2024)
Securing Federated Sensitive Topic Classification against Poisoning Attacks
by: Chu, Tianyue, et al.
Published: (2022)
by: Chu, Tianyue, et al.
Published: (2022)
FedP3: Federated Personalized and Privacy-friendly Network Pruning under Model Heterogeneity
by: Yi, Kai, et al.
Published: (2024)
by: Yi, Kai, et al.
Published: (2024)
FedCAP: Robust Federated Learning via Customized Aggregation and Personalization
by: Li, Youpeng, et al.
Published: (2024)
by: Li, Youpeng, et al.
Published: (2024)
FedTracker: Furnishing Ownership Verification and Traceability for Federated Learning Model
by: Shao, Shuo, et al.
Published: (2022)
by: Shao, Shuo, et al.
Published: (2022)
FedGT: Identification of Malicious Clients in Federated Learning with Secure Aggregation
by: Xhemrishi, Marvin, et al.
Published: (2023)
by: Xhemrishi, Marvin, et al.
Published: (2023)
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)
Leveraging Soft Prompts for Privacy Attacks in Federated Prompt Tuning
by: Nguyen, Quan Minh, et al.
Published: (2026)
by: Nguyen, Quan Minh, 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)
FedNC: A Secure and Efficient Federated Learning Method with Network Coding
by: Shi, Yuchen, et al.
Published: (2023)
by: Shi, Yuchen, et al.
Published: (2023)
Fed-EINI: An Efficient and Interpretable Inference Framework for Decision Tree Ensembles in Federated Learning
by: Chen, Xiaolin, et al.
Published: (2021)
by: Chen, Xiaolin, et al.
Published: (2021)
Exploring and Mitigating Adversarial Manipulation of Voting-Based Leaderboards
by: Huang, Yangsibo, et al.
Published: (2025)
by: Huang, Yangsibo, et al.
Published: (2025)
Federated Learning with Relative Fairness
by: Nakakita, Shogo, et al.
Published: (2024)
by: Nakakita, Shogo, et al.
Published: (2024)
Attacks on fairness in Federated Learning
by: Rance, Joseph, et al.
Published: (2023)
by: Rance, Joseph, et al.
Published: (2023)
FedBit: Accelerating Privacy-Preserving Federated Learning via Bit-Interleaved Packing and Cross-Layer Co-Design
by: Meng, Xiangchen, et al.
Published: (2025)
by: Meng, Xiangchen, et al.
Published: (2025)
FedCert: Federated Accuracy Certification
by: Nguyen, Minh Hieu, et al.
Published: (2024)
by: Nguyen, Minh Hieu, et al.
Published: (2024)
Theoretical Corrections and the Leveraging of Reinforcement Learning to Enhance Triangle Attack
by: Meng, Nicole, et al.
Published: (2024)
by: Meng, Nicole, et al.
Published: (2024)
Malware Classification Leveraging NLP & Machine Learning for Enhanced Accuracy
by: Gond, Bishwajit Prasad, et al.
Published: (2025)
by: Gond, Bishwajit Prasad, et al.
Published: (2025)
Recycling Scraps: Improving Private Learning by Leveraging Intermediate Checkpoints
by: Shejwalkar, Virat, et al.
Published: (2022)
by: Shejwalkar, Virat, et al.
Published: (2022)
Similar Items
-
FedPoP: Federated Learning Meets Proof of Participation
by: İşler, Devriş, et al.
Published: (2025) -
FedPID: An Aggregation Method for Federated Learning
by: Mächler, Leon, et al.
Published: (2024) -
FedGIG: Graph Inversion from Gradient in Federated Learning
by: Xiao, Tianzhe, et al.
Published: (2024) -
FedRE: Robust and Effective Federated Learning with Privacy Preference
by: Xiao, Tianzhe, et al.
Published: (2025) -
FedGA: Federated Learning with Gradient Alignment for Error Asymmetry Mitigation
by: Xiao, Chenguang, et al.
Published: (2024)