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Biscotti: A Blockchain System for Private and Secure Federated Learning

https://doi.org/10.1109/tpds.2020.3044223

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Efficient Identification and Signatures for Smart Cards

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The Sybil Attack

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Non-Interactive and Information-Theoretic Secure Verifiable Secret Sharing

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Ouroboros: A Provably Secure Proof-of-Stake Blockchain Protocol

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Constant-Size Commitments to Polynomials and Their Applications

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Large-Scale Machine Learning with Stochastic Gradient Descent

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Federated Learning for Healthcare Informatics

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Gradient-based learning applied to document recognition

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inferredcites →https://doi.org/10.1109/bigdata.2018.8622598openalex-snapshot

When Machine Learning Meets Blockchain: A Decentralized, Privacy-preserving and Secure Design

inferredcites →https://doi.org/10.1109/cvpr.2016.280openalex-snapshot

Fast ConvNets Using Group-Wise Brain Damage

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Turbo-Aggregate: Breaking the Quadratic Aggregation Barrier in Secure Federated Learning

inferredcites →https://doi.org/10.1109/lcomm.2019.2921755openalex-snapshot

Blockchained On-Device Federated Learning

inferredcites →https://doi.org/10.1109/obd.2016.11openalex-snapshot

MedRec: Using Blockchain for Medical Data Access and Permission Management

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inferredcites →https://doi.org/10.1109/sp.2017.41openalex-snapshot

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inferredcites →https://doi.org/10.1109/sp.2018.00057openalex-snapshot

Manipulating Machine Learning: Poisoning Attacks and Countermeasures for Regression Learning

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Exploiting Unintended Feature Leakage in Collaborative Learning

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Helen: Maliciously Secure Coopetitive Learning for Linear Models

inferredcites →https://doi.org/10.1109/sp.2019.00065openalex-snapshot

Comprehensive Privacy Analysis of Deep Learning: Passive and Active White-box Inference Attacks against Centralized and Federated Learning

inferredcites →https://doi.org/10.1109/tdsc.2019.2952332openalex-snapshot

DeepChain: Auditable and Privacy-Preserving Deep Learning with Blockchain-based Incentive

inferredcites →https://doi.org/10.1109/tnnls.2019.2944481openalex-snapshot

Robust and Communication-Efficient Federated Learning From Non-i.i.d. Data

inferredcites →https://doi.org/10.1109/tpds.2018.2871449openalex-snapshot

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Towards Fair and Privacy-Preserving Federated Deep Models

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Adversarial machine learning

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Model Inversion Attacks that Exploit Confidence Information and Basic Countermeasures

inferredcites →https://doi.org/10.1145/2810103.2813687openalex-snapshot

Privacy-Preserving Deep Learning

inferredcites →https://doi.org/10.1145/2976749.2978318openalex-snapshot

Deep Learning with Differential Privacy

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Ako

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A uror

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Mitigating Poisoning Attacks on Machine Learning Models

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Towards Poisoning of Deep Learning Algorithms with Back-gradient Optimization

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Algorand

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Deep Models Under the GAN

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A generic communication scheduler for distributed DNN training acceleration

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How to share a secret

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ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models

inferredcites →https://doi.org/10.1561/0400000042openalex-snapshot

The Algorithmic Foundations of Differential Privacy

inferredcites →https://doi.org/10.1561/9781601988195openalex-snapshot

The Algorithmic Foundations of Differential Privacy

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Bitcoin: A Peer-to-Peer Electronic Cash System

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inferredcites →https://doi.org/10.48550/arxiv.1503.02531openalex-snapshot

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inferredcites →https://doi.org/10.48550/arxiv.1602.05629openalex-snapshot

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inferredcites →https://doi.org/10.48550/arxiv.1712.07557openalex-snapshot

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Zeno: Distributed Stochastic Gradient Descent with Suspicion-based Fault-tolerance

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inferredcites →https://doi.org/10.48550/arxiv.1807.09173openalex-snapshot

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inferredcites →https://doi.org/10.48550/arxiv.1811.12470openalex-snapshot

Analyzing Federated Learning through an Adversarial Lens

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What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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A federated learning-based selection and incentive system using blockchain technology

inferred← citeshttps://doi.org/10.1016/j.pmcj.2025.102157openalex-snapshot

Sybil-aware adaptive defence framework for robust federated learning

inferred← citeshttps://doi.org/10.1016/j.procs.2025.09.437openalex-snapshot

An Overview of Blockchain-Enabled Federated Learning Architectures for Agricultural Applications

inferred← citeshttps://doi.org/10.1016/j.procs.2026.05.164openalex-snapshot

A Secure Data Collaboration Framework Using Differential Partial AI and Federated Learning: Architecture, Simulation, and Performance Evaluation

inferred← citeshttps://doi.org/10.1016/j.smhl.2026.100649openalex-snapshot

BlockAuthFL: A robust blockchain-enabled framework for addressing data heterogeneity and sybil attacks in Healthcare Federated Learning

inferred← citeshttps://doi.org/10.1038/s41598-022-25559-7openalex-snapshot

Construction of rice supply chain supervision model driven by blockchain smart contract

inferred← citeshttps://doi.org/10.1038/s41598-025-04069-2openalex-snapshot

False-positive tolerant model misconduct mitigation in distributed federated learning on electronic health record data across clinical institutions

inferred← citeshttps://doi.org/10.1038/s41598-025-04083-4openalex-snapshot

An explainable federated blockchain framework with privacy-preserving AI optimization for securing healthcare data

inferred← citeshttps://doi.org/10.1038/s41598-025-21852-3openalex-snapshot

A federated incremental blockchain framework with privacy preserving XAI optimization for securing healthcare data

inferred← citeshttps://doi.org/10.1038/s41598-026-56630-2openalex-snapshot

Hybrid electricity management system for residential power block applications

inferred← citeshttps://doi.org/10.1038/s41598-026-57780-zopenalex-snapshot

BCAFL: a secure and efficient blockchain framework for asynchronous federated learning

inferred← citeshttps://doi.org/10.1049/blc2.70015openalex-snapshot

AI‐Based Crypto Tokens: The Illusion of Decentralized AI?

inferred← citeshttps://doi.org/10.1051/sands/2024003openalex-snapshot

Behavioral authentication for security and safety

inferred← citeshttps://doi.org/10.1080/09540091.2024.2316018openalex-snapshot

A Blockchain-based federated learning framework for secure aggregation and fair incentives

inferred← citeshttps://doi.org/10.1108/978-1-83549-608-420251006openalex-snapshot

Investigating the Role of AI Techniques in CCFD: A Quantitative Study in the Accounting and Finance Sector

inferred← citeshttps://doi.org/10.1109/access.2021.3075203openalex-snapshot

Vulnerabilities in Federated Learning

inferred← citeshttps://doi.org/10.1109/access.2021.3092192openalex-snapshot

Bibliometric Analysis of the Blockchain Scientific Evolution: 2014–2020

inferred← citeshttps://doi.org/10.1109/access.2022.3174865openalex-snapshot

Blockchain-Enabled Federated Learning for UAV Edge Computing Network: Issues and Solutions

inferred← citeshttps://doi.org/10.1109/access.2023.3263533openalex-snapshot

Visual Object Detection for Privacy-Preserving Federated Learning

inferred← citeshttps://doi.org/10.1109/access.2023.3319083openalex-snapshot

Qualitative Survey on Artificial Intelligence Integrated Blockchain Approach for 6G and Beyond

inferred← citeshttps://doi.org/10.1109/access.2023.3326410openalex-snapshot

A Survey on Attacks and Their Countermeasures in Deep Learning: Applications in Deep Neural Networks, Federated, Transfer, and Deep Reinforcement Learning

inferred← citeshttps://doi.org/10.1109/access.2023.3347039openalex-snapshot

Federify: A Verifiable Federated Learning Scheme Based on zkSNARKs and Blockchain

inferred← citeshttps://doi.org/10.1109/access.2024.3413069openalex-snapshot

A Multifaceted Survey on Federated Learning: Fundamentals, Paradigm Shifts, Practical Issues, Recent Developments, Partnerships, Trade-Offs, Trustworthiness, and Ways Forward

inferred← citeshttps://doi.org/10.1109/access.2024.3429205openalex-snapshot

Secure and Scalable Blockchain-Based Federated Learning for Cryptocurrency Fraud Detection: A Systematic Review

inferred← citeshttps://doi.org/10.1109/access.2024.3511272openalex-snapshot

Blockchain Enabled Federated Learning for Detection of Malicious Internet of Things Nodes

inferred← citeshttps://doi.org/10.1109/access.2025.3576261openalex-snapshot

ShieldDFL: A Blockchain-Based Federated Learning Framework With Dual Privacy Protection and Reputation-Driven Consensus

inferred← citeshttps://doi.org/10.1109/aibdf67964.2025.11440839openalex-snapshot

Trusted Federated Learning Based on Blockchain for Web3.0 Environment

inferred← citeshttps://doi.org/10.1109/aiot66900.2025.00042openalex-snapshot

Client Clustering Meets Knowledge Sharing: Enhancing Privacy and Robustness in Personalized Peer-to-Peer Learning

inferred← citeshttps://doi.org/10.1109/bcca55292.2022.9922390openalex-snapshot

Decentralized Federated Learning: A Comprehensive Survey and a New Blockchain-based Data Evaluation Scheme

inferred← citeshttps://doi.org/10.1109/bigdata59044.2023.10386756openalex-snapshot

A Max-Min Security Game for Coordinated Backdoor Attacks on Federated Learning

inferred← citeshttps://doi.org/10.1109/blockchain55522.2022.00074openalex-snapshot

A Blockchained Incentive Architecture for Federated Learning

inferred← citeshttps://doi.org/10.1109/blockchain60715.2023.00042openalex-snapshot

A Blockchain Based Trustworthy Space in Cross-Domain Synergy

inferred← citeshttps://doi.org/10.1109/ccai61966.2024.10603161openalex-snapshot

Research on Efficient Deep Learning Method Based on Blockchain Consensus Mechanism

inferred← citeshttps://doi.org/10.1109/ccpqt66408.2025.11383209openalex-snapshot

Robust Decentralized Federated Learning: A Credit-based Blockchain Approach

inferred← citeshttps://doi.org/10.1109/compsac57700.2023.00199openalex-snapshot

A Survey on Blockchain-Based Federated Learning and Data Privacy

inferred← citeshttps://doi.org/10.1109/compsac69091.2026.00131openalex-snapshot

EigenFL: An EigenLayer-Restaked Blockchain Solution for Secure Federated Learning

inferred← citeshttps://doi.org/10.1109/comsnets59351.2024.10427404openalex-snapshot

PraaKrum: A Practical Byzantine-Resilient Federated Learning Algorithm

inferred← citeshttps://doi.org/10.1109/comst.2023.3315374openalex-snapshot

A Survey of Blockchain and Artificial Intelligence for 6G Wireless Communications

inferred← citeshttps://doi.org/10.1109/comst.2023.3316615openalex-snapshot

Combining Federated Learning and Edge Computing Toward Ubiquitous Intelligence in 6G Network: Challenges, Recent Advances, and Future Directions

inferred← citeshttps://doi.org/10.1109/comst.2023.3317242openalex-snapshot

Edge Learning for 6G-Enabled Internet of Things: A Comprehensive Survey of Vulnerabilities, Datasets, and Defenses

inferred← citeshttps://doi.org/10.1109/confluence52989.2022.9734213openalex-snapshot

BFLEdge: Blockchain based federated edge learning scheme in V2X underlying 6G communications

inferred← citeshttps://doi.org/10.1109/conit61985.2024.10625977openalex-snapshot

Blockchain-Enhanced Federated Learning: A New Paradigm for Secure Distributed Machine Learning

inferred← citeshttps://doi.org/10.1109/dasc/picom/cbdcom/cy59711.2023.10361446openalex-snapshot

Enhancing Trust and Reliability in AI and ML: Assessing Blockchain's Potential to Ensure Data Integrity and Security

inferred← citeshttps://doi.org/10.1109/dcoss-iot58021.2023.00078openalex-snapshot

An Efficient and Lightweight Commitment Scheme for IoT Data Streams

inferred← citeshttps://doi.org/10.1109/dcoss-iot61029.2024.00075openalex-snapshot

Optimizing Federated Learning through Lightweight and Scalable Blockchain

inferred← citeshttps://doi.org/10.1109/dsaa54385.2022.10032341openalex-snapshot

BASS: Blockchain-Based Asynchronous SignSGD for Robust Collaborative Data Mining

inferred← citeshttps://doi.org/10.1109/etncc66224.2025.11299785openalex-snapshot

A Comprehensive Literature Review of Privacy Preserving Techniques and Challenges in Decentralized Federated Learning

inferred← citeshttps://doi.org/10.1109/eurosp57164.2023.00023openalex-snapshot

Reconstructing Individual Data Points in Federated Learning Hardened with Differential Privacy and Secure Aggregation

inferred← citeshttps://doi.org/10.1109/globecom54140.2023.10436772openalex-snapshot

Advancing Federated Learning in 6G: A Trusted Architecture with Graph-Based Analysis

inferred← citeshttps://doi.org/10.1109/hpcc-dss-smartcity-dependsys53884.2021.00150openalex-snapshot

Blockchain-based decentralized federated learning: A secure and privacy-preserving system

inferred← citeshttps://doi.org/10.1109/hpcc-dss-smartcity-dependsys57074.2022.00072openalex-snapshot

TBFL: A Trusted Blockchain-based Federated Learning System

inferred← citeshttps://doi.org/10.1109/iaecst64597.2024.11117785openalex-snapshot

Federated Learning Based on Blockchain with Improved Proof of Authority Consensus

inferred← citeshttps://doi.org/10.1109/iatmsi64286.2025.10985342openalex-snapshot

A Blockchain Framework for Federated Learning: Privacy, Security, and Scalability

inferred← citeshttps://doi.org/10.1109/icacte66284.2025.11412074openalex-snapshot

FedUAV-FL: Federated Collaborative Recognition Framework for Illegal Structures Using UAV Networks

inferred← citeshttps://doi.org/10.1109/icauc68182.2026.11441105openalex-snapshot

Dynamic Trust-Driven Blockchain Federated Learning System for Medical Insurance Fraud Detection

inferred← citeshttps://doi.org/10.1109/icbc64466.2025.11114604openalex-snapshot

Mitigation of Sybil-based Poisoning Attacks in Permissionless Decentralized Learning

inferred← citeshttps://doi.org/10.1109/icbctis64495.2024.00023openalex-snapshot

Block-BRFL: Blockchain-based High Byzantine Robust Federated Learning Method

inferred← citeshttps://doi.org/10.1109/icbctis64495.2024.00032openalex-snapshot

Dual-Threshold Personalized Federated Learning Method Based on Blockchain

inferred← citeshttps://doi.org/10.1109/icc52391.2025.11162100openalex-snapshot

REDFL: Robust and Efficient Decentralized Federated Learning Based on Committee Consensus

inferred← citeshttps://doi.org/10.1109/iccc70295.2026.11680499openalex-snapshot

Privacy-Preserving Robust Federated Learning Based on Threshold Homomorphic Encryption

inferred← citeshttps://doi.org/10.1109/icdcsw63686.2024.00019openalex-snapshot

Wait or Not to Wait: Evaluating Trade-Offs between Speed and Precision in Blockchain-based Federated Aggregation

inferred← citeshttps://doi.org/10.1109/icdds67737.2025.11344706openalex-snapshot

A Conceptual Dual-Chain Blockchain Framework for Compliant Federated Learning with Unlearning Support

inferred← citeshttps://doi.org/10.1109/icdmw60847.2023.00136openalex-snapshot

A Federated Multi-Modal Learning Framework Powered by Distributed Ledgers for Cyber-safe and Efficient UAV Delivery Systems

inferred← citeshttps://doi.org/10.1109/icecit67774.2025.11451128openalex-snapshot

Blockchain-based Trust and Privacy-Preserving Authentication using Federated Learning in Pharmaceutical Supply Chains

inferred← citeshttps://doi.org/10.1109/icecsp61809.2024.10698609openalex-snapshot

Blockchain Enabled Federated Learning-Based Medical Cyber-Physical System

inferred← citeshttps://doi.org/10.1109/icici65870.2025.11069922openalex-snapshot

Federated Adversarial Learning for Scalable and Robust Zero-Day Cyber Threat Detection in IoT Networks

inferred← citeshttps://doi.org/10.1109/icisc65841.2025.11188430openalex-snapshot

AI-Driven Cyber Threat Intelligence with Blockchain: A Federated and Privacy-Preserving Approach (FPPA) for Secure Defense

inferred← citeshttps://doi.org/10.1109/icnp59255.2023.10355616openalex-snapshot

Poster: Verifiable Blockchain-Based Decentralized Learning

inferred← citeshttps://doi.org/10.1109/icpcsn62568.2024.00171openalex-snapshot

Blockchain-powered Federated Learning: A Review on Current Practices

inferred← citeshttps://doi.org/10.1109/icspis67605.2025.11318386openalex-snapshot

A Cutting-Edge Hash-Comb Approach for Privacy-Preserving Federated Learning

inferred← citeshttps://doi.org/10.1109/icstsn67075.2025.11398054openalex-snapshot

Sybil-Resistant Decentralized Blockchain-Enabled Federated Learning for Edge AI: Robustness and Incentive Mechanisms

inferred← citeshttps://doi.org/10.1109/ictc51749.2021.9441499openalex-snapshot

A Systematic Literature Review of Blockchain-based Federated Learning: Architectures, Applications and Issues

inferred← citeshttps://doi.org/10.1109/iiki65561.2024.00026openalex-snapshot

Privacy-Preserving Blockchain Transactions Synthesis with Diffusion Generative Models

inferred← citeshttps://doi.org/10.1109/infocom52122.2024.10621425openalex-snapshot

A Semi-Asynchronous Decentralized Federated Learning Framework via Tree-Graph Blockchain

inferred← citeshttps://doi.org/10.1109/inspect63485.2024.10896016openalex-snapshot

Blockchain-Powered Federated Learning: A Secure and Decentralized Approach to Distributed AI

inferred← citeshttps://doi.org/10.1109/ipdps64566.2025.00061openalex-snapshot

Hybrid-Granularity Parallelism Support for Fast Transaction Processing in Blockchain-Based Federated Learning

inferred← citeshttps://doi.org/10.1109/iscc53001.2021.9631405openalex-snapshot

BAFL: An Efficient Blockchain-Based Asynchronous Federated Learning Framework

inferred← citeshttps://doi.org/10.1109/ispa-bdcloud-socialcom-sustaincom52081.2021.00161openalex-snapshot

A hybrid CPU/GPU Scheme for Optimizing ChaCha20 Stream Cipher

inferred← citeshttps://doi.org/10.1109/ispa63168.2024.00280openalex-snapshot

Model-Based Throughput Optimization for Blockchain Sharding System

inferred← citeshttps://doi.org/10.1109/itnec56291.2023.10082698openalex-snapshot

VTFL: A Blockchain Based Vehicular Trustworthy Federated Learning Framework

inferred← citeshttps://doi.org/10.1109/iwqos65803.2025.11143398openalex-snapshot

Breaking the Mainchain Barrier of Blockchain Sharding Architecture for Federated Learning

inferred← citeshttps://doi.org/10.1109/jiot.2022.3201117openalex-snapshot

Trustworthy Federated Learning via Blockchain

inferred← citeshttps://doi.org/10.1109/jiot.2023.3267112openalex-snapshot

Lightweight Privacy and Security Computing for Blockchained Federated Learning in IoT

inferred← citeshttps://doi.org/10.1109/jiot.2023.3279926openalex-snapshot

Privacy-Preserving Cross-Silo Federated Learning Atop Blockchain for IoT

inferred← citeshttps://doi.org/10.1109/jiot.2023.3288078openalex-snapshot

TORR: A Lightweight Blockchain for Decentralized Federated Learning

inferred← citeshttps://doi.org/10.1109/jiot.2023.3311967openalex-snapshot

Blockchain-Empowered Federated Learning Through Model and Feature Calibration

inferred← citeshttps://doi.org/10.1109/jiot.2023.3347899openalex-snapshot

Blockchain-Based Gradient Inversion and Poisoning Defense for Federated Learning

inferred← citeshttps://doi.org/10.1109/jiot.2024.3360129openalex-snapshot

Public and Private Blockchain Infusion: A Novel Approach to Federated Learning

inferred← citeshttps://doi.org/10.1109/jiot.2024.3379395openalex-snapshot

Blockchain-Based Federated Learning With Enhanced Privacy and Security Using Homomorphic Encryption and Reputation

inferred← citeshttps://doi.org/10.1109/jiot.2024.3407584openalex-snapshot

Decentralized Federated Learning: A Survey and Perspective

inferred← citeshttps://doi.org/10.1109/jiot.2024.3417003openalex-snapshot

AIFL: Ensuring Unlinkable Anonymity and Robust Incentive in Cross-Device Federated Learning

inferred← citeshttps://doi.org/10.1109/jiot.2024.3450433openalex-snapshot

Double Robust Federated Digital Twin Modeling in Smart Grid

inferred← citeshttps://doi.org/10.1109/jiot.2024.3479328openalex-snapshot

PEFL: Privacy-Preserved and Efficient Federated Learning With Blockchain

inferred← citeshttps://doi.org/10.1109/jiot.2024.3509222openalex-snapshot

Robust and Secure Aggregation Scheme for Federated Learning

inferred← citeshttps://doi.org/10.1109/jiot.2025.3586789openalex-snapshot

A Robust Decentralized Federated Aggregation for Heterogeneous Data via Blockchain System

inferred← citeshttps://doi.org/10.1109/jiot.2025.3629325openalex-snapshot

FedCoguard: A Defense Framework for Federated Learning Against Untargeted Poisoning Attacks in Sustainable Agricultural IoT

inferred← citeshttps://doi.org/10.1109/jiot.2025.3647441openalex-snapshot

Secure and Robust Federated Learning Under Dual-Server Architecture in Internet of Things

inferred← citeshttps://doi.org/10.1109/jiot.2026.3667408openalex-snapshot

DFedDG2: Distribution-Guided Gossip-Based Generalizable and Communication-Efficient Decentralized Federated Learning

inferred← citeshttps://doi.org/10.1109/jiot.2026.3690582openalex-snapshot

Consensus-Based Fully Decentralized and Privacy-Preserving Federated Learning in Dynamic AAV Networks Without Key Distribution Center

inferred← citeshttps://doi.org/10.1109/jsac.2022.3213323openalex-snapshot

InFEDge: A Blockchain-Based Incentive Mechanism in Hierarchical Federated Learning for End-Edge-Cloud Communications

inferred← citeshttps://doi.org/10.1109/jsac.2022.3213345openalex-snapshot

A Fast Blockchain-Based Federated Learning Framework With Compressed Communications

inferred← citeshttps://doi.org/10.1109/jsac.2025.3560039openalex-snapshot

Toward Decentralized Operationalization of Zero Trust Architecture for Next Generation Networks

inferred← citeshttps://doi.org/10.1109/jsen.2021.3066492openalex-snapshot

Artificial Intelligence and Edge Computing-Enabled Web Spam Detection for Next Generation IoT Applications

inferred← citeshttps://doi.org/10.1109/mass58611.2023.00022openalex-snapshot

Secure Decentralized Learning with Blockchain

inferred← citeshttps://doi.org/10.1109/mits.2022.3190036openalex-snapshot

A Survey of the Social Internet of Vehicles: Secure Data Issues, Solutions, and Federated Learning

inferred← citeshttps://doi.org/10.1109/mnet.013.2100311openalex-snapshot

Aerial Access Networks for Federated Learning: Applications and Challenges

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