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IMPLEMENTATION_STATUS.md

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Implementation Status

This document clarifies what's production-ready vs. experimental vs. roadmap.

v19.0.0 (The Immune System Era) - COMPLETED

  • The Immune System: Byzantine-resilient aggregation (TrimmedMean).
  • Precision Upgrade: High-dynamic range gradients (Bfp16Vec).
  • The Hippocampus: GeneStorage trait and Disk persistence implementation.
  • Emergence: Verified "Viral Cure" propagation in 15% packet loss scenarios.

✅ Fully Implemented & Tested

  • Core Compression Engine (qres_core): Q16.16 fixed-point determinism, bit-perfect across architectures
  • Phase 7: Safety Hardening: No unwrap/expect panic paths in core.
  • Phase 8: Zero-Copy Optimization: compress_chunk uses &mut [u8] buffers.
  • Q16.16 Math Engine: Replaced floats with fixed::types::I16F16.
  • Python Bindings (PyO3): Tested on Linux/macOS/Windows
  • WASM Decoder: Browser-compatible decompression via wasm-bindgen
  • IoT Streaming Interface (v15.3): Real-time dashboard with D3.js visualization, SNN Spike Visualizer
  • P2P Weight Sharing: libp2p + GossipSub for model distribution
  • Federated Averaging: FedProx for non-IID data stability
  • Swarm Synchronization: PRNG seed-based coordination (zero-bandwidth)
  • Ensemble Predictors: Linear, Graph, Spectral, SNN, High-Dimensional predictors with RL mixing
  • Portable SIMD: ARM NEON, x86 AVX, and WASM SIMD via wide crate
  • Arithmetic Coding (v16): Range coder for residual compression
  • The Immune System (v16.5):
    • Ghost Protocol: Differential Privacy, Secure Aggregation, ZK Proofs.
    • Reputation Manager: Persistent trust scoring (Reward/Punish/Ban).
    • The Gatekeeper: Identity-bound aggregation.
  • Phase 1 Security (Authentication): ed25519 signatures, PKI identity verification, replay prevention.
  • Phase 2 Security (Robust Aggregation): TrimmedMeanByz (v19.0) replacing Krum to fix drift vulnerability.
  • Gradient Precision (v19.0): Bfp16Vec (Block Floating Point) for high-dynamic-range updates without vanishing.
  • Neural Resource Prediction (v16): ONNX-based hybrid predictor (Neural + Heuristic fallback)

🧪 Experimental (Works But Not Hardened)

  • Federated Dreaming: Synthetic sample generation with Sanity Check validation.
  • Regime Change Adaptation: Dynamic predictor reweighting via momentum updates.
  • Unary VLQ Encoding: Simple variable-length residual encoding.

📋 Roadmap (Not Yet Implemented)

  • Explicit Fallback Modes: Graceful degradation during phase shifts
  • FPGA Acceleration: Hardware implementation of Mixer logic
  • Multimodal SNNs: Cross-domain compression predictors

⚠️ Known Limitations

Limitation Impact Mitigation
Inlier Bias Drift Attackers within $1.5\sigma$ can cause slow drift TrimmedMeanByz limits impact; Rate-limiting
Partially trusted nodes TrimmedMean tolerates $< n/3$ malicious Use PKI + Reputation Manager
Regime change degradation 2-3x ratio drop during pattern shifts Recovers via swarm learning (12-48 hours)
High-entropy data Cannot compress encrypted/random data Fallback to passthrough mode
Header overhead Not suitable for files < 1KB Use for larger datasets
Higher complexity More resource-intensive than LZ4 Use QRES for bandwidth-constrained scenarios

Version History

Version Era Key Features
v16.5 Immune System Era Identity-Bound Aggregation (The Gatekeeper), Reputation Manager, Dreaming Sanity Check
v16.0 Neural Prediction Era Hybrid Resource Predictor (ONNX), Arithmetic Coding, Proactive Scaling
v15.3 Edge Visualization IoT Dashboard, Real-time D3 Charts, SNN Spike Visualizer
v15.2 Publication Era Benchmarks, Reproducibility, Paper Draft
v15.0 Privacy Era Differential Privacy, Secure Aggregation, ZK Proofs
v12.0 Swarm Scaling Zero-bandwidth sync, federated swarms
v11.x Portable SIMD ARM/x86/WASM portability
v10.x Singularity Engine Q16.16 determinism, architecture decoupling
v9.0 SNN Era GIF neurons, OSBC pruning
v8.x Hive Mind P2P swarm, federated learning