1key,doi_or_arxiv,verified_via,verified_title,match2rescorla2018tls13,10.17487/rfc8446,crossref,"The Transport Layer Security (TLS) Protocol Version 1.3",yes3androulaki2018fabric,10.1145/3190508.3190538,crossref,"Hyperledger fabric",yes4yang2019fml,10.1145/3298981,crossref,"Federated Machine Learning",yes5zhu2020dlg,10.1007/978-3-030-63076-8_2,crossref,"Deep Leakage from Gradients",yes6tan2023personalizedfl,10.1109/tnnls.2022.3160699,crossref,"Towards Personalized Federated Learning",yes7ye2024heterogeneousfl,10.1145/3625558,crossref,"Heterogeneous Federated Learning: State-of-the-art and Research Challenges",yes8zhang2023fedala,10.1609/aaai.v37i9.26330,crossref,"FedALA: Adaptive Local Aggregation for Personalized Federated Learning",yes9nguyen2025unlearning,10.1145/3749987,crossref,"A Survey of Machine Unlearning",yes10hou2026mcp,10.1145/3796519,crossref,"Model Context Protocol (MCP): Landscape, Security Threats, and Future Research Directions",yes11castryck2023sidh,10.1007/978-3-031-30589-4_15,crossref,"An Efficient Key Recovery Attack on SIDH",yes12nist2019pqcround1,10.6028/nist.ir.8240,crossref,"Status report on the first round of the NIST post-quantum cryptography standardization process",yes13nist2022pqcround3,10.6028/nist.ir.8413,crossref,"Status report on the third round of the NIST Post-Quantum Cryptography Standardization process",yes14foley2019bitcoin,10.1093/rfs/hhz015,crossref,"Sex, Drugs, and Bitcoin: How Much Illegal Activity Is Financed through Cryptocurrencies?",yes15cong2019smartcontracts,10.1093/rfs/hhz007,crossref,"Blockchain Disruption and Smart Contracts",yes16yaga2018blockchain,10.6028/nist.ir.8202,crossref,"Blockchain technology overview",yes17wang2019consensus,10.1109/access.2019.2896108,crossref,"A Survey on Consensus Mechanisms and Mining Strategy Management in Blockchain Networks",yes18kurakin2018physical,10.1201/9781351251389-8,crossref,"Adversarial Examples in the Physical World",yes19thapa2022splitfed,10.1609/aaai.v36i8.20825,crossref,"SplitFed: When Federated Learning Meets Split Learning",yes20du2026vulrag,10.1145/3797277,crossref,"vul-rag : Enhancing LLM-based Vulnerability Detection via Knowledge-level RAG",yes21ahmed2020tracingapps,10.1109/access.2020.3010226,crossref,"A Survey of COVID-19 Contact Tracing Apps",yes22sheller2020flmedicine,10.1038/s41598-020-69250-1,crossref,"Federated learning in medicine: facilitating multi-institutional collaborations without sharing patient data",yes23chen2020fedhealth,10.1109/mis.2020.2988604,crossref,"FedHealth: A Federated Transfer Learning Framework for Wearable Healthcare",yes24zhang2024fedtgp,10.1609/aaai.v38i15.29617,crossref,"FedTGP: Trainable Global Prototypes with Adaptive-Margin-Enhanced Contrastive Learning for Data and Model Heterogeneity in Federated Learning",yes25fu2026dpfl,10.1145/3801079,crossref,"Differentially Private Federated Learning: A Systematic Review",yes26jimenezgutierrez2026flsecurity,10.1016/j.inffus.2026.104155,crossref,"On the security and privacy of federated learning: A survey with attacks, defenses, frameworks, applications, and future directions",yes27davidson2018institutions,10.1017/s1744137417000200,crossref,"Blockchains and the economic institutions of capitalism",yes28mendling2018bpm,10.1145/3183367,crossref,"Blockchains for Business Process Management - Challenges and Opportunities",yes29saberi2019supplychain,10.1080/00207543.2018.1533261,crossref,"Blockchain technology and its relationships to sustainable supply chain management",yes30conti2018bitcoinsecurity,10.1109/comst.2018.2842460,crossref,"A Survey on Security and Privacy Issues of Bitcoin",yes31fernandez2018biot,10.1109/access.2018.2842685,crossref,"A Review on the Use of Blockchain for the Internet of Things",yes32huynh2023metaverse,10.1016/j.future.2023.02.008,crossref,"Blockchain for the metaverse: A Review",yes33mohammadi2026dpmedical,10.1038/s41746-025-02280-z,crossref,"Differential privacy for medical deep learning: methods, tradeoffs, and deployment implications",yes34eden2025flgovernance,10.1038/s41746-025-01836-3,crossref,"A scoping review of the governance of federated learning in healthcare",yes35zhu2021noniid,10.1016/j.neucom.2021.07.098,crossref,"Federated learning on non-IID data: A survey",yes36zhang2021flsurvey,10.1016/j.knosys.2021.106775,crossref,"A survey on federated learning",yes37xu2021flhealth,10.1007/s41666-020-00082-4,crossref,"Federated Learning for Healthcare Informatics",yes38yang2024fedas,10.1109/cvpr52733.2024.01139,crossref,"FedAS: Bridging Inconsistency in Personalized Federated Learning",yes39ali2026huntgpt,10.3390/telecom7030073,crossref,"HuntGPT: Integrating Machine Learning-Based Anomaly Detection and Explainable AI with Large Language Models (LLMs)",yes40bonawitz2017secagg,10.1145/3133956.3133982,crossref,"Practical Secure Aggregation for Privacy-Preserving Machine Learning",yes41beullens2022rainbow,10.1007/978-3-031-15979-4_16,crossref,"Breaking Rainbow Takes a Weekend on a Laptop",yes42uddin2026phishing,10.1016/j.comnet.2026.112061,crossref,"An explainable transformer-based model for phishing email detection: A large language model approach",yes43xu2025cbrfl,10.1016/j.jnca.2025.104165,crossref,"CBRFL: A framework for Committee-based Byzantine-Resilient Federated Learning",yes44nist2024transition,10.6028/NIST.IR.8547.ipd,crossref,"Transition to Post-Quantum Cryptography Standards",yes45nist2025hqc,10.6028/NIST.IR.8545,crossref,"Status report on the fourth round of the NIST post-quantum cryptography standardization process",yes46guo2022blockchainsecurity,10.1016/j.bcra.2022.100067,crossref,"A survey on blockchain technology and its security",yes47kim2018provenance,10.1002/isaf.1424,crossref,"Toward an ontology-driven blockchain design for supply-chain provenance",yes48esposito2018healthcare,10.1109/mcc.2018.011791712,crossref,"Blockchain: A Panacea for Healthcare Cloud-Based Data Security and Privacy?",yes49li2019qffl,arXiv:1905.10497,arxiv,"Fair Resource Allocation in Federated Learning",yes50li2018fedprox,arXiv:1812.06127,arxiv,"Federated Optimization in Heterogeneous Networks",yes51wang2021nft,arXiv:2105.07447,arxiv,"Non-Fungible Token (NFT): Overview, Evaluation, Opportunities and Challenges",yes52cho2020tracing,arXiv:2003.11511,arxiv,"Contact Tracing Mobile Apps for COVID-19: Privacy Considerations and Related Trade-offs",yes53bagdasaryan2018backdoor,arXiv:1807.00459,arxiv,"How To Backdoor Federated Learning",yes54guesmi2026reentrancy,10.4230/oasics.fmbc.2026.8,datacite,"Detecting Cross-Function Reentrancy from EVM Traces",yes55