ruv 0826438e0e feat: ADR-024 Phase 7 — MicroLoRA, EWC++, drift detection, hard-negative mining ...

Deep RuVector integration for the Contrastive CSI Embedding Model:

- MicroLoRA on ProjectionHead: rank-4 LoRA adapters (1,792 params/env,
  93% reduction vs full retraining) with merge/unmerge, freeze-base
  training, and per-environment LoRA weight serialization
- EWC++ consolidation in Trainer: compute Fisher information after
  pretraining, apply penalty during supervised fine-tuning to prevent
  catastrophic forgetting of contrastive structure
- EnvironmentDetector in EmbeddingExtractor: drift-aware embedding
  extraction with anomalous entry flagging in FingerprintIndex
- Hard-negative mining: HardNegativeMiner with configurable ratio and
  warmup, info_nce_loss_mined() for efficient contrastive training
- RVF SEG_LORA (0x0D): named LoRA profile storage/retrieval with
  add_lora_profile(), lora_profile(), lora_profiles() methods
- 12 new tests (272 total, 0 failures)

Closes Phase 7 of ADR-024. All 7 phases now complete.

Co-Authored-By: claude-flow <ruv@ruv.net>

2026-03-01 01:27:46 -05:00

..

wifi-densepose-rs

feat: ADR-024 Phase 7 — MicroLoRA, EWC++, drift detection, hard-negative mining

2026-03-01 01:27:46 -05:00

SWARM_CONFIG.md

feat: Complete Rust port of WiFi-DensePose with modular crates

2026-01-13 03:11:16 +00:00