federer/dist/src/server/async/staleness.js

Experiments in asynchronous federated learning and decentralized learning

"use strict";
Object.defineProperty(exports, "__esModule", { value: true });
exports.staleness = void 0;
function staleness(serverRound, clientRound, options) {
    switch (options.type) {
        case "Constant":
            return 1;
        case "Polynomial":
            return Math.pow(serverRound - clientRound + 1, -options.a);
        case "Hinge": {
            if (serverRound - clientRound <= options.b) {
                return 1;
            }
            else {
                return 1 / (options.a * (serverRound - clientRound + options.b) + 1);
            }
        }
    }
}
exports.staleness = staleness;
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