:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Yang, He, Lv, Dongyi, Xi, Wei, Ma, Song, Gu, Hanlin, Zhao, Jizhong
Format:	Preprint
Published:	2026
Subjects:	Machine Learning Cryptography and Security
Online Access:	https://arxiv.org/abs/2604.15115
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

SNEAKDOOR: Stealthy Backdoor Attacks against Distribution Matching-based Dataset Condensation
by: Yang, He, et al.
Published: (2026)

ByzSFL: Achieving Byzantine-Robust Secure Federated Learning with Zero-Knowledge Proofs
by: Fan, Yongming, et al.
Published: (2025)

FedMIA: An Effective Membership Inference Attack Exploiting "All for One" Principle in Federated Learning
by: Zhu, Gongxi, et al.
Published: (2024)

FedAdOb: Privacy-Preserving Federated Deep Learning with Adaptive Obfuscation
by: Gu, Hanlin, et al.
Published: (2024)

DP-BREM: Differentially-Private and Byzantine-Robust Federated Learning with Client Momentum
by: Gu, Xiaolan, et al.
Published: (2023)

FedTracker: Furnishing Ownership Verification and Traceability for Federated Learning Model
by: Shao, Shuo, et al.
Published: (2022)

Byzantine-Robust Federated Learning over Ring-All-Reduce Distributed Computing
by: Fang, Minghong, et al.
Published: (2025)

FedSV: Byzantine-Robust Federated Learning via Shapley Value
by: Otmani, Khaoula, et al.
Published: (2025)

FedPDD: A Privacy-preserving Double Distillation Framework for Cross-silo Federated Recommendation
by: Wan, Sheng, et al.
Published: (2023)

FedSECA: Sign Election and Coordinate-wise Aggregation of Gradients for Byzantine Tolerant Federated Learning
by: Benjamin, Joseph Geo, et al.
Published: (2024)

FedGuard: A Diverse-Byzantine-Robust Mechanism for Federated Learning with Major Malicious Clients
by: Jiang, Haocheng, et al.
Published: (2025)

FedEDAuth -- Federated Embedding Distribution Authentication for Counterfeit IC Detection
by: Lodge, Naseeruddin, et al.
Published: (2026)

ProtegoFed: Backdoor-Free Federated Instruction Tuning with Interspersed Poisoned Data
by: Zhao, Haodong, et al.
Published: (2026)

Efficient Byzantine-Robust and Provably Privacy-Preserving Federated Learning
by: Nie, Chenfei, et al.
Published: (2024)

Intelligent Adaptive Federated Byzantine Agreement for Robust Blockchain Consensus
by: Nugroho, Erdhi Widyarto, et al.
Published: (2025)

Byzantine Distributed Function Computation
by: Anilkumar, Hari Krishnan P., et al.
Published: (2025)

FedCAPrivacy: Privacy-Preserving Heterogeneous Federated Learning with Anonymous Adaptive Clustering
by: Wei, Yunan, et al.
Published: (2025)

FedRecAttack: Model Poisoning Attack to Federated Recommendation
by: Rong, Dazhong, et al.
Published: (2022)

Understanding Byzantine Robustness in Federated Learning with A Black-box Server
by: Zhao, Fangyuan, et al.
Published: (2024)

Efficient Byzantine-Robust Privacy-Preserving Federated Learning via Dimension Compression
by: Qin, Xian, et al.
Published: (2025)

Achieving Byzantine-Resilient Federated Learning via Layer-Adaptive Sparsified Model Aggregation
by: Xu, Jiahao, et al.
Published: (2024)

Federated Domain-Specific Knowledge Transfer on Large Language Models Using Synthetic Data
by: Li, Haoran, et al.
Published: (2024)

Federated Learning Resilient to Byzantine Attacks and Data Heterogeneity
by: Zuo, Shiyuan, et al.
Published: (2024)

Towards Privacy-Guaranteed Label Unlearning in Vertical Federated Learning: Few-Shot Forgetting without Disclosure
by: Gu, Hanlin, et al.
Published: (2024)

FedML-HE: An Efficient Homomorphic-Encryption-Based Privacy-Preserving Federated Learning System
by: Jin, Weizhao, et al.
Published: (2023)

Structured Security Auditing and Robustness Enhancement for Untrusted Agent Skills
by: Lv, Lijia, et al.
Published: (2026)

FedMUP: Federated Learning driven Malicious User Prediction Model for Secure Data Distribution in Cloud Environments
by: Gupta, Kishu, et al.
Published: (2024)

FedSecurity: Benchmarking Attacks and Defenses in Federated Learning and Federated LLMs
by: Han, Shanshan, et al.
Published: (2023)

FedFDP: Fairness-Aware Federated Learning with Differential Privacy
by: Ling, Xinpeng, et al.
Published: (2024)

FedGMark: Certifiably Robust Watermarking for Federated Graph Learning
by: Yang, Yuxin, et al.
Published: (2024)

FedSpaLLM: Federated Pruning of Large Language Models
by: Bai, Guangji, et al.
Published: (2024)

Cross-Paradigm Graph Backdoor Attacks with Promptable Subgraph Triggers
by: Liu, Dongyi, et al.
Published: (2025)

FedMABA: Towards Fair Federated Learning through Multi-Armed Bandits Allocation
by: Wang, Zhichao, et al.
Published: (2024)

FedMUA: Exploring the Vulnerabilities of Federated Learning to Malicious Unlearning Attacks
by: Chen, Jian, et al.
Published: (2025)

FedLiTeCAN : A Federated Lightweight Transformer for Fast and Robust CAN Bus Intrusion Detection
by: S, Devika, et al.
Published: (2025)

Enabling Trustworthy Federated Learning via Remote Attestation for Mitigating Byzantine Threats
by: Zhang, Chaoyu, et al.
Published: (2025)

Secure and Private Federated Learning: Achieving Adversarial Resilience through Robust Aggregation
by: Yang, Kun, et al.
Published: (2025)

List-Decodable Byzantine Robust PIR: Lower Communication Complexity, Higher Byzantine Tolerance, Smaller List Size
by: Ke, Pengzhen, et al.
Published: (2025)

FedPID: An Aggregation Method for Federated Learning
by: Mächler, Leon, et al.
Published: (2024)

FedSGT: Exact Federated Unlearning via Sequential Group-based Training
by: Zhang, Bokang, et al.
Published: (2025)