synos-fedlearn — Federated Learning Aggregation Core

tags: [general]

synos-fedlearn — Federated Learning Aggregation Core

Classification: PUBLIC
Crate: fruit/crates/synos-fedlearn/
Milestone: v70 “Sundancer”
License: MIT OR Apache-2.0

What It Is

synos-fedlearn is the federated learning aggregation core for ALFRED v70 “Sundancer”. It implements FedAvg with Byzantine-robust hooks, enabling privacy-preserving model training across the ARCANUM Hive mesh without centralizing sensitive data.

Architecture

Core Algorithms

Algorithm	Purpose
FedAvg	Standard federated averaging
ByzantineHook	Byzantine-robust aggregation (Krum/Trimmed Mean)
SecureAggregation	Privacy-preserving gradient aggregation

How It’s Wired

1. ALFRED consciousness fusion — synos-fedlearn aggregates model updates across the mesh for distributed ALFRED training
2. synos-hive-controller — coordinates training rounds across mesh nodes
3. synos-audit-trail — logs all gradient updates for accountability
4. ONNX runtime — model serialization and inference

Future Ideas

1. Differential privacy — add DP guarantees to gradient updates
2. Personalization — per-node model adaptation after aggregation
3. Hierarchical FedAvg — multi-level aggregation for large meshes
4. Active client selection — choose which nodes participate per round