Cover Image

Digital Agriculture Sandbox for Collaborative Research

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zafar, Osama, González, Rosemarie Santa, Morales, Alfonso, Ayday, Erman
Format:	Preprint
Published:	2025
Subjects:	Cryptography and Security Computers and Society Distributed, Parallel, and Cluster Computing Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Privacy-Preserving Data Linkage Across Private and Public Datasets for Collaborative Agriculture Research
by: Zafar, Osama, et al.
Published: (2024)

Empowering Digital Agriculture: A Privacy-Preserving Framework for Data Sharing and Collaborative Research
by: Zafar, Osama, et al.
Published: (2025)

Securing Health Data on the Blockchain: A Differential Privacy and Federated Learning Framework
by: Commey, Daniel, et al.
Published: (2024)

FL-PBM: Pre-Training Backdoor Mitigation for Federated Learning
by: Wehbi, Osama, et al.
Published: (2026)

Protecting Confidentiality, Privacy and Integrity in Collaborative Learning
by: Chen, Dong, et al.
Published: (2024)

Decentralized Collaborative Learning Framework with External Privacy Leakage Analysis
by: Idé, Tsuyoshi, et al.
Published: (2024)

Federated Learning for Pediatric Pneumonia Detection: Enabling Collaborative Diagnosis Without Sharing Patient Data
by: Jimenez-Gutierrez, Daniel M., et al.
Published: (2025)

MetaFed: Advancing Privacy, Performance, and Sustainability in Federated Metaverse Systems
by: Yagiz, Muhammet Anil, et al.
Published: (2025)

Decentralized Intelligence Network (DIN)
by: Nash, Abraham
Published: (2024)

A Trust-Centric Approach To Quantifying Maturity and Security in Internet Voting Protocols
by: Barański, Stanisław, et al.
Published: (2024)

Reputation-based PoS for the Restriction of Illicit Activities on Blockchain: Algorand Usecase
by: Pandey, Mayank, et al.
Published: (2021)

SoK: Bridging Trust into the Blockchain. A Systematic Review on On-Chain Identity
by: Vaziry, Awid, et al.
Published: (2024)

A Review on the Application of Blockchain for the Next Generation of Cybersecure Industry 4.0 Smart Factories
by: Fernandez-Carames, Tiago M., et al.
Published: (2019)

zk-X509: Privacy-Preserving On-Chain Identity from Legacy PKI via Zero-Knowledge Proofs
by: Bak, Yeongju
Published: (2026)

Know Your Contract: Extending eIDAS Trust into Public Blockchains
by: Vaziry, Awid, et al.
Published: (2026)

Detecting Backdoor Attacks in Federated Learning via Direction Alignment Inspection
by: Xu, Jiahao, et al.
Published: (2025)

DROP: Poison Dilution via Knowledge Distillation for Federated Learning
by: Syros, Georgios, et al.
Published: (2025)

zkFL-Health: Blockchain-Enabled Zero-Knowledge Federated Learning for Medical AI Privacy
by: Sharma, Savvy, et al.
Published: (2025)

An Adaptive Multi-Layered Honeynet Architecture for Threat Behavior Analysis via Deep Learning
by: Möller, Lukas Johannes
Published: (2025)

Practical Framework for Privacy-Preserving and Byzantine-robust Federated Learning
by: Zhang, Baolei, et al.
Published: (2025)

Controlled privacy leakage propagation throughout overlapping grouped learning
by: Kiani, Shahrzad, et al.
Published: (2025)

Can One Safety Loop Guard Them All? Agentic Guard Rails for Federated Computing
by: Veeraragavan, Narasimha Raghavan, et al.
Published: (2025)

Detect \& Score: Privacy-Preserving Misbehaviour Detection and Contribution Evaluation in Federated Learning
by: Xhemrishi, Marvin, et al.
Published: (2025)

Enhancing Privacy in Decentralized Min-Max Optimization: A Differentially Private Approach
by: Quan, Yueyang, et al.
Published: (2025)

Dropout-Robust Mechanisms for Differentially Private and Fully Decentralized Mean Estimation
by: Sabater, César, et al.
Published: (2025)

CLIP: Client-Side Invariant Pruning for Mitigating Stragglers in Secure Federated Learning
by: DiMaggio, Anthony, et al.
Published: (2025)

Byzantine-Resilient Zero-Order Optimization for Communication-Efficient Heterogeneous Federated Learning
by: Egger, Maximilian, et al.
Published: (2025)

Poisoning Attacks and Defenses to Federated Unlearning
by: Wang, Wenbin, et al.
Published: (2025)

Domain Borders Are There to Be Crossed With Federated Few-Shot Adaptation
by: Röder, Manuel, et al.
Published: (2025)

A Lightweight Federated Learning Approach for Privacy-Preserving Botnet Detection in IoT
by: Mahmoud, Taha M., et al.
Published: (2025)

Privacy Preserving Machine Learning Model Personalization through Federated Personalized Learning
by: Hosain, Md. Tanzib, et al.
Published: (2025)

Toward Malicious Clients Detection in Federated Learning
by: Dou, Zhihao, et al.
Published: (2025)

Towards Trustworthy Federated Learning with Untrusted Participants
by: Allouah, Youssef, et al.
Published: (2025)

Hear No Evil: Detecting Gradient Leakage by Malicious Servers in Federated Learning
by: Wang, Fei, et al.
Published: (2025)

SafeSplit: A Novel Defense Against Client-Side Backdoor Attacks in Split Learning (Full Version)
by: Rieger, Phillip, et al.
Published: (2025)

Do We Really Need to Design New Byzantine-robust Aggregation Rules?
by: Fang, Minghong, et al.
Published: (2025)

Not All Edges are Equally Robust: Evaluating the Robustness of Ranking-Based Federated Learning
by: Gong, Zirui, et al.
Published: (2025)

EFU: Enforcing Federated Unlearning via Functional Encryption
by: Mohammadi, Samaneh, et al.
Published: (2025)

TimberStrike: Dataset Reconstruction Attack Revealing Privacy Leakage in Federated Tree-Based Systems
by: Di Gennaro, Marco, et al.
Published: (2025)

Split Learning-Enabled Framework for Secure and Light-weight Internet of Medical Things Systems
by: Sai, Siva, et al.
Published: (2025)