{"paper":{"title":"Wireless Aggregation Latency in Edge Learning with Fractional Power Control","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"eess.SP","authors_text":"A. C. Vamshi Karthik, S. Tayyaba, S. Vanka","submitted_at":"2026-07-31T10:20:20Z","abstract_excerpt":"When multiple wireless edge servers communicate with a common core server, their uplink transmissions create a multiple-access bottleneck that affects the la- tency of distributed edge learning systems. This paper analyzes this bottleneck and investigates the use of fractional power control (FPC) to mitigate it in hierarchi- cal federated learning (HFL). Modeling the spatial deployment of edge servers and wireless channel gains using stochastic wireless models, we analytically character- ize the mean core aggregation latency (CAL) under a TDMA aggregation policy. We formulate the cumulative co"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.29248","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2607.29248/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"}