Zero-Knowledge Proof of Training Secures Private Federated Learning Consensus
        
        
        
        
          
        
        
      
        
    
        
        ZKPoT, a novel zk-SNARK-based consensus, verifies decentralized machine learning contributions without exposing private data, ensuring both efficiency and privacy.
        
        Zero-Knowledge Mechanisms: Private Commitment to Verifiably Honest Economic Rules
        
        
        
        
          
        
        
      
        
    
        
        Cryptographic commitment to a hidden mechanism, verifiable via zero-knowledge proofs, enables trustless private economic systems.
        
        New Lookup Argument Achieves Optimal Commitment Size for Universal ZK Circuits
        
        
        
        
          
        
        
      
        
    
        
        Lasso introduces a sparse multilinear polynomial commitment scheme to make non-arithmetic ZK operations linear, unlocking the lookup singularity.
        
        Institutional Tokenization Market Surpasses $33 Billion Driving Financial Infrastructure Modernization
        
        
        
        
          
        
        
      
        
    
        
        Tokenizing $33.91 billion in real-world assets establishes a new, capital-efficient settlement layer, directly reducing counterparty risk and enabling 24/7 liquidity across illiquid asset classes.
        
        Resumable Zero-Knowledge Proofs Drastically Cut Sequential Verification Cost
        
        
        
        
          
        
        
      
        
    
        
        A new cryptographic primitive, resumable ZKPoK, enables sequential proof sessions to be exponentially cheaper, unlocking efficient stateful post-quantum cryptography.
        
        Zero-Knowledge Proof of Training Secures Private Decentralized Federated Learning
        
        
        
        
          
        
        
      
        
    
        
        ZKPoT establishes a new consensus model, using zk-SNARKs to privately verify model training contribution, decoupling utility from centralization risk.
        
        Sublinear Prover PlonK Cuts Verifiable Computation Cost by Proving Active Circuits
        
        
        
        
          
        
        
      
        
    
        
        SublonK introduces a novel SNARK prover whose runtime scales only with the active circuit, fundamentally optimizing large-scale verifiable computation.
        
        Decentralized Proving Markets Secure Verifiable Computation Outsourcing Efficiency
        
        
        
        
          
        
        
      
        
    
        
        This paper introduces a mechanism design framework for a decentralized proving market, transforming zero-knowledge proof generation into a competitive, economically efficient service.
        
        Efficient Lattice Commitments Secure Post-Quantum Verifiable Computation
        
        
        
        
          
        
        
      
        
    
        
        Greyhound introduces the first concretely efficient lattice-based polynomial commitment scheme, providing quantum-resistant security for all verifiable computation.
        
        Decentralized ZK-Rollups Achieve Data Availability and MEV Resistance
        
        
        
        
          
        
        
      
        
    
        
        A novel L2 architecture separates node roles and uses a Proof of Luck mechanism to secure decentralization and prevent transaction reordering attacks.
        
        Ethereum Nears 10,000 Transactions per Second with New Scaling Tech
        
        
        
        
          
        
        
      
        
    
        
        Ethereum is on the cusp of a major scalability breakthrough, poised to handle 10,000 transactions per second through innovative new technology.
        
        Zero-Knowledge Proof of Training Secures Decentralized Federated Learning
        
        
        
        
          
        
        
      
        
    
        
        ZKPoT leverages zk-SNARKs to prove model performance without revealing private data, solving the privacy-efficiency trade-off in decentralized AI.
        
        Zero-Knowledge Oracles Secure Cross-Chain Communication with Quantum Randomness and Restaking
        
        
        
        
          
        
        
      
        
    
        
        V-ZOR integrates ZKPs, quantum entropy, and restaking to enable cryptographically verifiable, trust-minimized off-chain data delivery across decentralized systems.
        
        Proof-of-Useful-Work Embeds Zero-Knowledge Proof Generation into Consensus
        
        
        
        
          
        
        
      
        
    
        
        A new Proof-of-Useful-Work consensus protocol secures the chain by making general-purpose ZK-SNARK computation the core mining puzzle, democratizing verifiable computation.
        
        Folding Schemes Enable Efficient Recursive Zero-Knowledge Computation
        
        
        
        
          
        
        
      
        
    
        
        Folding schemes fundamentally reduce recursive proof overhead, enabling ultra-efficient incrementally verifiable computation for long-running processes.
        
        Recursive Inner Product Arguments Enable Universal Transparent Polynomial Commitments
        
        
        
        
          
        
        
      
        
    
        
        A novel recursive folding of polynomial commitments into Inner Product Arguments yields universal, transparent proof systems for highly scalable verifiable computation.
        
        Verifiable Computation for Approximate FHE Unlocks Private AI Scalability
        
        
        
        
          
        
        
      
        
    
        
        This new cryptographic framework efficiently integrates Verifiable Computation with approximate Homomorphic Encryption, enabling trustless, private AI computation at scale.
        
        New Transparent Recursive Commitment Scheme Eliminates Trusted Setup Efficiency Trade-Off
        
        
        
        
          
        
        
      
        
    
        
        LUMEN introduces a novel recursive polynomial commitment scheme, achieving transparent zk-SNARK efficiency on par with trusted-setup protocols.
        
        Zero-Knowledge Mechanisms Enable Private Rules with Public Verifiability
        
        
        
        
          
        
        
      
        
    
        
        This framework introduces a new cryptographic primitive that allows mechanism rules to remain secret while using ZKPs to publicly verify incentive compatibility and outcomes, removing the need for a trusted mediator.
        
        Social Capital Consensus Replaces Financial Stake for Equitable Decentralization
        
        
        
        
          
        
        
      
        
    
        
        A new ZK-enabled protocol replaces financial stake with non-transferable social capital, fundamentally re-architecting consensus for true equity and Sybil resistance.
        
        Zero-Knowledge Proof of Training Secures Decentralized Federated Learning Consensus
        
        
        
        
          
        
        
      
        
    
        
        A new Zero-Knowledge Proof of Training (ZKPoT) consensus mechanism leverages zk-SNARKs to validate machine learning model contributions privately, resolving the efficiency and privacy trade-off in decentralized AI.
        
        Lattice-Based Folding Achieves Post-Quantum Recursive SNARK Efficiency
        
        
        
        
          
        
        
      
        
    
        
        The first lattice-based folding protocol enables recursive SNARKs to achieve post-quantum security while matching the performance of pre-quantum schemes.
        
        Ethereum Developers Unveil Kohaku Roadmap for Modular Wallet Privacy Primitives
        
        
        
        
          
        
        
      
        
    
        
        The Kohaku SDK introduces peer-to-peer transaction broadcasting and ZK-powered social recovery, fundamentally decentralizing the wallet-to-protocol connection.
        
        Recursive Structure-Preserving Commitments Enable Constant-Size Universal SNARK Setup
        
        
        
        
          
        
        
      
        
    
        
        Fractal Commitment Schemes introduce a recursive commitment primitive that compresses the universal trusted setup into a constant size, dramatically accelerating verifiable computation deployment.
        
        Sublinear Memory ZKPs Democratize Verifiable Computation and Privacy
        
        
        
        
          
        
        
      
        
    
        
        A new proof system reduces ZKP memory from linear to square-root complexity, unlocking verifiable computation on resource-constrained edge devices.
        
        Lattice zkSNARKs Achieve Practical Succinctness for Post-Quantum Security
        
        
        
        
          
        
        
      
        
    
        
        New lattice-based zkSNARKs drastically shrink proof size, making quantum-resistant, privacy-preserving computation viable for next-generation decentralized systems.
        
        Social Capital Consensus Replaces Financial Stake, Enabling Equitable Decentralization
        
        
        
        
          
        
        
      
        
    
        
        Proof-of-Social-Capital leverages non-transferable social influence and ZK proofs to secure consensus, fundamentally decoupling network power from wealth.
        
        Collaborative SNARKs Enable Private Shared State Computation without Revealing Secrets
        
        
        
        
          
        
        
      
        
    
        
        Collaborative SNARKs merge ZKPs and MPC to allow distributed parties to jointly prove a statement over private inputs, unlocking secure data collaboration.
        
        Hyper-Efficient Universal SNARKs Decouple Proving Cost from Setup
        
        
        
        
          
        
        
      
        
    
        
        HyperPlonk introduces a new polynomial commitment scheme, achieving a universal and updatable setup with dramatically faster linear-time proving, enabling mass verifiable computation.
