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FedReady: Bounded Agents for Federation Formation

Paper recorded by Signals 4 on 2026-11-02 in cs.AI. Abstract reproduced from arXiv; link to the original below.

Published 2026-11-02 on arXiv · recorded by Signals 4 on 2026-11-03

Category: cs.AI · 人工智能 · first seen 2026-11-03

Abstract

Federated learning (FL) runtimes standardize aggregation and deployment, but each new study still requires federation formation: selecting task-eligible sites and preparing their local data and task code for federated training or analysis. This preparation recurs when the target changes, while raw records and site-private mappings are excluded from cross-site FL messages. We present FedReady, a sy

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#32 most recent of 920 cs.AI papers we have recorded · ↑ newer: Evaluating Uncertainty Calibration in Probabilistic Time Series Founda · ↓ older: Sonar-MoE: In-Backward Expert Updates for Memory-Efficient Mixture-of-
Cite this page: FedReady: Bounded Agents for Federation Formation: the #32 most recent of 920 cs.AI papers we have recorded (as of 2026-11-02). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/fedready-bounded-agents-for-federation-formation.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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