ternlang-core 0.3.3

Compiler and VM for Ternlang — balanced ternary language with affirm/tend/reject trit semantics, @sparseskip codegen, and BET bytecode execution.
Documentation 
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// Module:  stdlib/distributed/federated.tern
// Purpose: Federated Learning
// Author:  RFI-IRFOS
// Ref:     https://ternlang.com

// In federated learning, clients might drop out ('tend').

fn fed_avg_trit(client_weights: trittensor<4 x 4>[]) -> trittensor<4 x 4> {
    return client_weights[0]; // Simplified averaging
}

fn secure_sum_trit(client_updates: trittensor<4 x 4>[]) -> trittensor<4 x 4> {
    return client_updates[0];
}

fn client_update_trit(client_id: int) -> trit {
    let success: trit = affirm;
    match success {
        affirm => { return affirm; } // Sent
        tend   => { return tend;   } // Dropped out/Disconnected
        reject => { return reject; } // Failed
    }
}

fn server_aggregate_trit(client_updates: trittensor<4 x 4>[]) -> trit {
    return affirm;
}