This document specifies the optional integration between RuVector-Postgres Neural DAG system and QuDAG (Quantum-resistant Distributed DAG) for federated learning and distributed consensus on learned patterns.
┌─────────────────────────────────────────────────────────────────────────────┐
│ QUDAG INTEGRATION LAYER │
├─────────────────────────────────────────────────────────────────────────────┤
│ │
│ ┌──────────────────────────────────────────────────────────────────────┐ │
│ │ FEDERATED LEARNING │ │
│ │ │ │
│ │ Node A (US) Node B (EU) Node C (Asia) │ │
│ │ ┌──────────────┐ ┌──────────────┐ ┌──────────────┐ │ │
│ │ │ RuVector-PG │ │ RuVector-PG │ │ RuVector-PG │ │ │
│ │ │ ┌──────────┐ │ │ ┌──────────┐ │ │ ┌──────────┐ │ │ │
│ │ │ │ Patterns │ │ │ │ Patterns │ │ │ │ Patterns │ │ │ │
│ │ │ └────┬─────┘ │ │ └────┬─────┘ │ │ └────┬─────┘ │ │ │
│ │ └──────┼───────┘ └──────┼───────┘ └──────┼───────┘ │ │
│ │ │ │ │ │ │
│ │ └────────────────────┼────────────────────┘ │ │
│ │ ▼ │ │
│ │ ┌─────────────────┐ │ │
│ │ │ QuDAG Network │ │ │
│ │ │ (QR-Avalanche) │ │ │
│ │ └────────┬────────┘ │ │
│ │ │ │ │
│ │ ┌────────────────────┼────────────────────┐ │ │
│ │ ▼ ▼ ▼ │ │
│ │ ┌────────────┐ ┌────────────┐ ┌────────────┐ │ │
│ │ │ Consensus │ │ Consensus │ │ Consensus │ │ │
│ │ │ Patterns │ │ Patterns │ │ Patterns │ │ │
│ │ └────────────┘ └────────────┘ └────────────┘ │ │
│ │ │ │
│ └──────────────────────────────────────────────────────────────────────┘ │
│ │
│ ┌──────────────────────────────────────────────────────────────────────┐ │
│ │ SECURITY LAYER │ │
│ │ ┌────────────┐ ┌────────────┐ ┌────────────┐ ┌────────────┐ │ │
│ │ │ ML-KEM │ │ ML-DSA │ │ Differential│ │ rUv │ │ │
│ │ │ Encryption │ │ Signatures │ │ Privacy │ │ Tokens │ │ │
│ │ └────────────┘ └────────────┘ └────────────┘ └────────────┘ │ │
│ └──────────────────────────────────────────────────────────────────────┘ │
│ │
└─────────────────────────────────────────────────────────────────────────────┘
pub struct QuDagClient {
/// QuDAG node connection
node_url: String,
/// Node identity (ML-DSA keypair)
identity: QuDagIdentity,
/// Local pattern cache
pattern_cache: DashMap<PatternId, ConsensusPattern>,
/// Pending proposals
pending_proposals: DashMap<ProposalId, PatternProposal>,
/// Configuration
config: QuDagConfig,
/// Metrics
metrics: QuDagMetrics,
}
#[derive(Clone)]
pub struct QuDagIdentity {
/// ML-DSA-65 public key
pub public_key: MlDsaPublicKey,
/// ML-DSA-65 private key (encrypted at rest)
private_key: MlDsaPrivateKey,
/// Node identifier
pub node_id: NodeId,
/// Dark address (for anonymous communication)
pub dark_address: Option<DarkAddress>,
}
#[derive(Clone, Debug)]
pub struct QuDagConfig {
/// Enable QuDAG integration
pub enabled: bool,
/// QuDAG node URL
pub node_url: String,
/// Differential privacy epsilon
pub dp_epsilon: f64,
/// Minimum validators for consensus
pub min_validators: usize,
/// Consensus timeout (seconds)
pub consensus_timeout_secs: u64,
/// Sync interval (seconds)
pub sync_interval_secs: u64,
/// Maximum patterns per proposal
pub max_patterns_per_proposal: usize,
/// rUv staking requirement
pub min_stake_ruv: u64,
}
impl Default for QuDagConfig {
fn default() -> Self {
Self {
enabled: false,
node_url: "https://yyz.qudag.darknet/mcp".to_string(),
dp_epsilon: 1.0,
min_validators: 5,
consensus_timeout_secs: 30,
sync_interval_secs: 3600,
max_patterns_per_proposal: 100,
min_stake_ruv: 10,
}
}
}
impl QuDagClient {
/// Propose local patterns for consensus
pub async fn propose_patterns(
&self,
patterns: &[LearnedDagPattern],
) -> Result<ProposalId, QuDagError> {
// 1. Add differential privacy noise
let noisy_patterns = self.add_dp_noise(patterns)?;
// 2. Create proposal
let proposal = PatternProposal {
id: self.generate_proposal_id(),
proposer: self.identity.node_id.clone(),
patterns: noisy_patterns,
stake: self.config.min_stake_ruv,
timestamp: SystemTime::now(),
signature: None,
};
// 3. Sign with ML-DSA
let signed_proposal = self.sign_proposal(proposal)?;
// 4. Submit to QuDAG network
self.submit_proposal(&signed_proposal).await?;
// 5. Track pending
self.pending_proposals.insert(signed_proposal.id, signed_proposal.clone());
Ok(signed_proposal.id)
}
/// Add differential privacy noise to patterns
fn add_dp_noise(&self, patterns: &[LearnedDagPattern]) -> Result<Vec<NoisyPattern>, QuDagError> {
let epsilon = self.config.dp_epsilon;
patterns.iter()
.map(|p| {
// Add Laplace noise to centroid
let noisy_centroid: Vec<f32> = p.centroid.iter()
.map(|&v| {
let noise = laplace_sample(0.0, 1.0 / epsilon);
v + noise as f32
})
.collect();
// Quantize quality scores
let quantized_quality = (p.avg_metrics.quality * 10.0).round() / 10.0;
Ok(NoisyPattern {
centroid: noisy_centroid,
attention_type: p.optimal_attention.clone(),
quality: quantized_quality,
sample_count_bucket: bucket_sample_count(p.sample_count),
})
})
.collect()
}
/// Sign proposal with ML-DSA-65
fn sign_proposal(&self, mut proposal: PatternProposal) -> Result<PatternProposal, QuDagError> {
let message = proposal.to_signing_bytes();
let signature = self.identity.private_key.sign(&message)?;
proposal.signature = Some(signature);
Ok(proposal)
}
/// Submit proposal to QuDAG network
async fn submit_proposal(&self, proposal: &PatternProposal) -> Result<(), QuDagError> {
// Connect to QuDAG MCP server
let client = McpClient::connect(&self.config.node_url).await?;
// Call dag_submit tool
let response = client.call_tool("dag_submit", json!({
"vertex_type": "pattern_proposal",
"payload": proposal.to_encrypted_bytes(&self.get_network_key())?,
"parents": self.get_recent_vertices().await?,
})).await?;
if response["success"].as_bool().unwrap_or(false) {
Ok(())
} else {
Err(QuDagError::SubmissionFailed(
response["error"].as_str().unwrap_or("Unknown error").to_string()
))
}
}
}
#[derive(Clone, Debug)]
pub struct PatternProposal {
pub id: ProposalId,
pub proposer: NodeId,
pub patterns: Vec<NoisyPattern>,
pub stake: u64,
pub timestamp: SystemTime,
pub signature: Option<MlDsaSignature>,
}
#[derive(Clone, Debug)]
pub struct NoisyPattern {
/// Centroid with DP noise
pub centroid: Vec<f32>,
/// Attention type (no noise needed)
pub attention_type: DagAttentionType,
/// Quantized quality
pub quality: f64,
/// Bucketed sample count (privacy)
pub sample_count_bucket: SampleCountBucket,
}
#[derive(Clone, Debug)]
pub enum SampleCountBucket {
Few, // < 10
Some, // 10-50
Many, // 50-200
Lots, // > 200
}
impl QuDagClient {
/// Validate incoming pattern proposals
pub async fn validate_proposal(
&self,
proposal: &PatternProposal,
) -> Result<ValidationResult, QuDagError> {
// 1. Verify signature
if !self.verify_signature(proposal)? {
return Ok(ValidationResult::Rejected {
reason: "Invalid signature".to_string(),
});
}
// 2. Check stake
let balance = self.get_ruv_balance(&proposal.proposer).await?;
if balance < proposal.stake {
return Ok(ValidationResult::Rejected {
reason: "Insufficient stake".to_string(),
});
}
// 3. Validate pattern quality
let quality_scores: Vec<f64> = proposal.patterns.iter()
.map(|p| p.quality)
.collect();
let avg_quality = quality_scores.iter().sum::<f64>() / quality_scores.len() as f64;
if avg_quality < 0.3 {
return Ok(ValidationResult::Rejected {
reason: "Low quality patterns".to_string(),
});
}
// 4. Check for duplicate patterns
let duplicates = self.check_duplicates(&proposal.patterns).await?;
if duplicates > proposal.patterns.len() / 2 {
return Ok(ValidationResult::Rejected {
reason: "Too many duplicate patterns".to_string(),
});
}
// 5. Compute accuracy improvement (sample-based)
let improvement = self.estimate_improvement(&proposal.patterns).await?;
Ok(ValidationResult::Accepted {
quality_score: avg_quality,
improvement_estimate: improvement,
validator: self.identity.node_id.clone(),
})
}
/// Submit validation to QuDAG
pub async fn submit_validation(
&self,
proposal_id: ProposalId,
result: &ValidationResult,
) -> Result<(), QuDagError> {
let validation = Validation {
proposal_id,
result: result.clone(),
validator: self.identity.node_id.clone(),
timestamp: SystemTime::now(),
signature: None,
};
let signed = self.sign_validation(validation)?;
let client = McpClient::connect(&self.config.node_url).await?;
client.call_tool("dag_submit", json!({
"vertex_type": "pattern_validation",
"payload": signed.to_encrypted_bytes(&self.get_network_key())?,
"parents": [proposal_id.to_string()],
})).await?;
Ok(())
}
}
#[derive(Clone, Debug)]
pub enum ValidationResult {
Accepted {
quality_score: f64,
improvement_estimate: f32,
validator: NodeId,
},
Rejected {
reason: String,
},
}
impl QuDagClient {
/// Sync consensus patterns from QuDAG
pub async fn sync_patterns(&self) -> Result<SyncResult, QuDagError> {
let start = Instant::now();
// 1. Get latest consensus patterns
let client = McpClient::connect(&self.config.node_url).await?;
let response = client.call_tool("dag_query", json!({
"query_type": "consensus_patterns",
"since": self.last_sync_timestamp(),
"limit": 1000,
})).await?;
let consensus_patterns: Vec<ConsensusPattern> = serde_json::from_value(
response["patterns"].clone()
)?;
// 2. Verify signatures
let verified: Vec<_> = consensus_patterns.into_iter()
.filter(|p| self.verify_consensus_signature(p).unwrap_or(false))
.collect();
// 3. Update local cache
let mut new_count = 0;
for pattern in &verified {
if !self.pattern_cache.contains_key(&pattern.id) {
self.pattern_cache.insert(pattern.id, pattern.clone());
new_count += 1;
}
}
// 4. Update local ReasoningBank
let imported = self.import_to_reasoning_bank(&verified)?;
Ok(SyncResult {
patterns_received: verified.len(),
new_patterns: new_count,
patterns_imported: imported,
duration: start.elapsed(),
})
}
/// Import consensus patterns to local ReasoningBank
fn import_to_reasoning_bank(&self, patterns: &[ConsensusPattern]) -> Result<usize, QuDagError> {
let engines = get_all_dag_engines();
let mut imported = 0;
for pattern in patterns {
// Find matching local engine by pattern type
for engine in &engines {
let local_pattern = LearnedDagPattern {
id: self.generate_local_pattern_id(),
centroid: pattern.centroid.clone(),
optimal_params: ExecutionParams::default(),
optimal_attention: pattern.attention_type.clone(),
confidence: pattern.consensus_confidence,
sample_count: pattern.total_samples,
avg_metrics: AverageMetrics {
latency_us: 0.0, // Unknown from consensus
memory_bytes: 0.0,
quality: pattern.avg_quality,
},
updated_at: SystemTime::now(),
};
let mut bank = engine.dag_reasoning_bank.write();
bank.store(local_pattern);
imported += 1;
}
}
Ok(imported)
}
}
#[derive(Clone, Debug)]
pub struct ConsensusPattern {
pub id: PatternId,
pub centroid: Vec<f32>,
pub attention_type: DagAttentionType,
pub avg_quality: f64,
pub total_samples: usize,
pub consensus_confidence: f32,
pub validators: Vec<NodeId>,
pub signatures: Vec<MlDsaSignature>,
pub finalized_at: SystemTime,
}
#[derive(Clone, Debug)]
pub struct SyncResult {
pub patterns_received: usize,
pub new_patterns: usize,
pub patterns_imported: usize,
pub duration: Duration,
}
pub struct RuvTokenClient {
/// QuDAG client reference
qudag: Arc<QuDagClient>,
/// Local balance cache
balance_cache: AtomicU64,
/// Pending rewards
pending_rewards: DashMap<TransactionId, PendingReward>,
}
impl RuvTokenClient {
/// Check rUv balance
pub async fn get_balance(&self) -> Result<u64, QuDagError> {
let client = McpClient::connect(&self.qudag.config.node_url).await?;
let response = client.call_tool("ruv_balance", json!({
"address": self.qudag.identity.node_id.to_string(),
})).await?;
let balance = response["balance"].as_u64().unwrap_or(0);
self.balance_cache.store(balance, Ordering::Relaxed);
Ok(balance)
}
/// Stake rUv for pattern proposal
pub async fn stake(&self, amount: u64) -> Result<TransactionId, QuDagError> {
let client = McpClient::connect(&self.qudag.config.node_url).await?;
let response = client.call_tool("ruv_stake", json!({
"amount": amount,
"purpose": "pattern_proposal",
"signature": self.sign_stake_request(amount)?,
})).await?;
Ok(TransactionId::from_str(response["tx_id"].as_str().unwrap())?)
}
/// Claim rewards for accepted patterns
pub async fn claim_rewards(&self) -> Result<ClaimResult, QuDagError> {
let client = McpClient::connect(&self.qudag.config.node_url).await?;
let response = client.call_tool("ruv_claim_rewards", json!({
"address": self.qudag.identity.node_id.to_string(),
"signature": self.sign_claim_request()?,
})).await?;
let claimed = response["claimed"].as_u64().unwrap_or(0);
let new_balance = response["new_balance"].as_u64().unwrap_or(0);
self.balance_cache.store(new_balance, Ordering::Relaxed);
Ok(ClaimResult {
amount_claimed: claimed,
new_balance,
})
}
}
/// Reward structure
#[derive(Clone, Debug)]
pub struct RewardStructure {
/// Base reward for accepted pattern
pub pattern_accepted: u64, // 10 rUv
/// Bonus for accuracy improvement
pub accuracy_bonus_per_percent: u64, // 10 rUv per 1%
/// Validation reward
pub validation_reward: u64, // 2 rUv
/// Penalty for rejected pattern
pub rejection_penalty: u64, // 5 rUv
/// Byzantine behavior penalty
pub byzantine_penalty: u64, // 1000 rUv
}
impl Default for RewardStructure {
fn default() -> Self {
Self {
pattern_accepted: 10,
accuracy_bonus_per_percent: 10,
validation_reward: 2,
rejection_penalty: 5,
byzantine_penalty: 1000,
}
}
}
pub struct PatternEncryption {
/// Network public key (for encryption)
network_key: MlKemPublicKey,
/// Local private key (for decryption)
local_key: MlKemPrivateKey,
}
impl PatternEncryption {
/// Encrypt pattern for network transmission
pub fn encrypt(&self, pattern: &NoisyPattern) -> Result<EncryptedPattern, CryptoError> {
let plaintext = pattern.to_bytes();
// Encapsulate shared secret
let (ciphertext, shared_secret) = self.network_key.encapsulate()?;
// Derive key from shared secret
let key = blake3::derive_key("QuDAG Pattern Encryption", &shared_secret);
// Encrypt with ChaCha20-Poly1305
let nonce = generate_nonce();
let encrypted = chacha20_poly1305_encrypt(&key, &nonce, &plaintext)?;
Ok(EncryptedPattern {
ciphertext,
encrypted_data: encrypted,
nonce,
})
}
/// Decrypt pattern from network
pub fn decrypt(&self, encrypted: &EncryptedPattern) -> Result<NoisyPattern, CryptoError> {
// Decapsulate shared secret
let shared_secret = self.local_key.decapsulate(&encrypted.ciphertext)?;
// Derive key
let key = blake3::derive_key("QuDAG Pattern Encryption", &shared_secret);
// Decrypt
let plaintext = chacha20_poly1305_decrypt(
&key,
&encrypted.nonce,
&encrypted.encrypted_data,
)?;
NoisyPattern::from_bytes(&plaintext)
}
}
pub struct PatternSigning {
/// Signing key
private_key: MlDsaPrivateKey,
/// Verification key
public_key: MlDsaPublicKey,
}
impl PatternSigning {
/// Sign pattern proposal
pub fn sign_proposal(&self, proposal: &PatternProposal) -> Result<MlDsaSignature, CryptoError> {
let message = proposal.to_signing_bytes();
self.private_key.sign(&message)
}
/// Verify proposal signature
pub fn verify_proposal(
&self,
proposal: &PatternProposal,
public_key: &MlDsaPublicKey,
) -> Result<bool, CryptoError> {
let message = proposal.to_signing_bytes();
let signature = proposal.signature.as_ref()
.ok_or(CryptoError::MissingSignature)?;
public_key.verify(&message, signature)
}
/// Sign validation
pub fn sign_validation(&self, validation: &Validation) -> Result<MlDsaSignature, CryptoError> {
let message = validation.to_signing_bytes();
self.private_key.sign(&message)
}
}
-- Enable QuDAG integration
SELECT ruvector_dag_qudag_enable('{
"node_url": "https://yyz.qudag.darknet/mcp",
"dp_epsilon": 1.0,
"min_stake_ruv": 10
}'::jsonb);
-- Register identity
SELECT ruvector_dag_qudag_register();
-- Propose patterns for consensus
SELECT ruvector_dag_qudag_propose('documents');
-- Sync consensus patterns
SELECT ruvector_dag_qudag_sync();
-- Get rUv balance
SELECT ruvector_dag_ruv_balance();
-- Claim rewards
SELECT ruvector_dag_ruv_claim();
-- Get QuDAG status
SELECT ruvector_dag_qudag_status();
-- Enable/disable QuDAG
SET ruvector.dag_qudag_enabled = true;
-- QuDAG node URL
SET ruvector.dag_qudag_node_url = 'https://yyz.qudag.darknet/mcp';
-- Differential privacy epsilon
SET ruvector.dag_qudag_dp_epsilon = 1.0;
-- Sync interval (seconds)
SET ruvector.dag_qudag_sync_interval = 3600;
-- Minimum stake for proposals
SET ruvector.dag_qudag_min_stake = 10;
#[derive(Clone, Debug, Default)]
pub struct QuDagMetrics {
pub proposals_submitted: AtomicU64,
pub proposals_accepted: AtomicU64,
pub proposals_rejected: AtomicU64,
pub validations_performed: AtomicU64,
pub patterns_synced: AtomicU64,
pub ruv_earned: AtomicU64,
pub ruv_spent: AtomicU64,
pub last_sync_time: AtomicU64,
}
impl QuDagMetrics {
pub fn to_json(&self) -> serde_json::Value {
json!({
"proposals_submitted": self.proposals_submitted.load(Ordering::Relaxed),
"proposals_accepted": self.proposals_accepted.load(Ordering::Relaxed),
"proposals_rejected": self.proposals_rejected.load(Ordering::Relaxed),
"acceptance_rate": self.acceptance_rate(),
"validations_performed": self.validations_performed.load(Ordering::Relaxed),
"patterns_synced": self.patterns_synced.load(Ordering::Relaxed),
"ruv_net": self.ruv_net(),
})
}
fn acceptance_rate(&self) -> f64 {
let submitted = self.proposals_submitted.load(Ordering::Relaxed);
let accepted = self.proposals_accepted.load(Ordering::Relaxed);
if submitted > 0 {
accepted as f64 / submitted as f64
} else {
0.0
}
}
fn ruv_net(&self) -> i64 {
self.ruv_earned.load(Ordering::Relaxed) as i64
- self.ruv_spent.load(Ordering::Relaxed) as i64
}
}