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read_client_data_text

Syntologyentry name in harvested coderead from the graph 2026-09-24

read_client_data_text appears in the code Syntology harvested for 7 papers, as 7 distinct code bodies found in 9 places (a place is one code body under one paper). At least one of them ran in 4 of the papers; 0 of the code bodies carry a behaviour fingerprint.

What this page is not. Routines are grouped here by the exact string of their function or class name. Nothing asserts that two samples named read_client_data_text do the same thing, share code, or are comparable; the name is a string, not an identity. Behaviour outputs (what a fingerprinted sample returned on the shared battery) are not in this export and are not shown here; the graph at syntology.ai holds them. "Ran" means executed on a synthesized fixture, not that the code is correct or reproduces a paper.

Samples Syntology

Syntology ran 4 of the 7 distinct code bodies named read_client_data_text; 3 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

0ran · honoured contract
0ran · violated contract
4ran · our draft was wrong
0ran · fixture could not drive it
0ran
3unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 3 of the 9 places are pointer only (Syntology does not serve that copy's text). This site shows no code text for any sample; every row below links to the file in its repository where the record names one.

“Ran” means the sample executed on a synthesized input; it does not mean the output is correct. “Honoured” and “violated” refer to a contract Syntology drafted from the code itself; “our draft was wrong” and “fixture could not drive it” are failures of Syntology's instrument, not of the code, and those samples did run. The ran count above is every status except unverified, the same rule as each paper page.

Papers

7 papers shown of 7, newest first; 9 places in the table. A paper with no recorded date is placed by the month its arXiv id encodes, shown in the Date column as YYYY-MM (from id). One row per place: a paper whose repository defines the name more than once appears more than once, and the same code body held for several papers appears once under each, with the same status. Titles and dates are the archive's archive 2025-07-28 for papers in the archive, and the graph's for 1 papers added by Syntology. Status and fingerprint are Syntology's record of each code body; licence is recorded for each place. The File cell ends with the code body's code_sha256, Syntology's identity for that exact code: an agent fetches the stored sample with Syntology's MCP tool get_code(code_sha256="…") (how to connect); click an identity to copy that call.

PaperDateFileStatus SyntologyLicence
CoRe-Fed: Bridging Collaborative and Representation Fairness via Federated Embedding Distillation added by Syntology 2026-02 (from id) Noorain1/CoRe-Fed/gfedplat/data_utils.py efdbf3faf8e9c763 unverified no licence file found · pointer only
An Upload-Efficient Scheme for Transferring Knowledge From a Server-Side Pre-trained Generator to Clients in Heterogeneous Federated Learning 23 Mar 2024 TsingZ0/FedKTL/system/flcore/servers/serverktl_stylegan_3.py fd69af949887cea7 ran · our draft was wrong Apache-2.0 (permissive)
Eliminating Domain Bias for Federated Learning in Representation Space 25 Nov 2023 tsingz0/dbe/system/flcore/clients/clientDBE.py 62bd3835aba88265 ran · our draft was wrong Apache-2.0 (permissive)
Eliminating Domain Bias for Federated Learning in Representation Space 25 Nov 2023 TsingZ0/DBE/system/utils/data_utils.py 736b76e55626f3c9 unverified Apache-2.0 (permissive)
GPFL: Simultaneously Learning Global and Personalized Feature Information for Personalized Federated Learning 20 Aug 2023 hpdic/pfllib/system/flcore/servers/servergpfl.py 550b82dd9e22c065 ran · our draft was wrong GPL-2.0 (copyleft) · pointer only
GPFL: Simultaneously Learning Global and Personalized Feature Information for Personalized Federated Learning 20 Aug 2023 TsingZ0/GPFL/system/utils/data_utils.py 736b76e55626f3c9 unverified Apache-2.0 (permissive)
FedSoup: Improving Generalization and Personalization in Federated Learning via Selective Model Interpolation 20 Jul 2023 ubc-tea/fedsoup/system/utils/data_utils.py 792921aa7a14d5c9 unverified no licence file found · pointer only
FedALA: Adaptive Local Aggregation for Personalized Federated Learning 2 Dec 2022 TsingZ0/FedALA/system/utils/data_utils.py 736b76e55626f3c9 unverified Apache-2.0 (permissive)
Communication-Efficient Learning of Deep Networks from Decentralized Data 17 Feb 2016 TsingZ0/FL-IoT/system/flcore/servers/serverbase.py a5adfb5eb99305a0 ran · our draft was wrong MIT (permissive)

This site shows no code text; each File cell links to the file on GitHub at the repository's current default branch, which may have changed since the harvest. "Pointer only" means Syntology does not serve that copy's text, for one of four reasons: no licence file was found; the licence was not identified; the licence is recorded as permissive but that copy's record is not marked cleared; or the licence is outside the permissive list Syntology serves text under (MIT, Apache-2.0, BSD and similar). Some licences outside that list permit redistribution, such as WTFPL, and GPL-3.0 under its conditions; they are simply not on the list. Hover a licence cell for the reason. Per-sample records for a paper are on its paper page under "Code Syntology ran".

Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections