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Server

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

Server appears in the code Syntology harvested for 21 papers, as 24 distinct code bodies found in 24 places (a place is one code body under one paper). At least one of them ran in 6 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 Server 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 7 of the 24 distinct code bodies named Server; 17 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

0ran · honoured contract
0ran · violated contract
0ran · our draft was wrong
0ran · fixture could not drive it
7ran
17unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 13 of the 24 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

21 papers shown of 21, newest first; 24 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 5 papers added by Syntology; 1 papers have no page here and are shown by arXiv id only. 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
Capacity Confounds and Coverage Guarantees in Adaptive Sub-model Federated Learning added by Syntology 2026-08 (from id) amoayedikia/hasfl/hasfl/server.py 9370de0fd7c2ad37 ran no licence file found · pointer only
FedTopo: Relation-Level Topology Sharing for Model-Heterogeneous Federated Learning added by Syntology 2026-07 (from id) Zhaoyang-Ma/FedTopo/FedTopo/system/flcore/servers/servertopo.py ba8ca9e93f19cd56 ran no licence file found · pointer only
Spectral Transformation for Layer-wise Global Rank Discovery in Federated LoRA for Vision Transformers added by Syntology 2026-07 (from id) DASS-Lab-Group/SpecTraL/server.py 044c0faf9272cc6b unverified no licence file found · pointer only
Few-for-Many Personalized Federated Learning added by Syntology 2026-03 (from id) pgg3/FedFew/PFLlib/system/flcore/servers/serverfedfews.py 892305b1fbfbb8cb unverified MIT (permissive)
FedKDX: Federated Learning with Negative Knowledge Distillation for Enhanced Healthcare AI Systems added by Syntology 2026-01 (from id) phamdinhdat-ai/Fed_2024/system/flcore/servers/serverkdx.py 524ad37f76022d2e unverified no licence file found · pointer only
Federated Generalised Variational Inference: A Robust Probabilistic Federated Learning Framework 2 Feb 2025 Terje-M/FedGVI/code/fedgvi_experiments/servers/fedgvi_server.py f3955d2bdea77d86 unverified no licence file found · pointer only
Covariances for Free: Exploiting Mean Distributions for Federated Learning with Pre-Trained Models 18 Dec 2024 dipamgoswami/FedCOF/federate_classes.py ba2e2801e78d7fb1 unverified no licence file found · pointer only
Multi-Level Additive Modeling for Structured Non-IID Federated Learning 26 May 2024 shutong043/femam/server.py 6b0fafa66e6bd1f9 ran 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 995784bb2619aade unverified Apache-2.0 (permissive)
FedTGP: Trainable Global Prototypes with Adaptive-Margin-Enhanced Contrastive Learning for Data and Model Heterogeneity in Federated Learning 6 Jan 2024 tsingz0/fedtgp/system/flcore/servers/servertgp.py 03bdd9abb57b35ce 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 e93a0125a4576b1a unverified GPL-2.0 (copyleft) · pointer only
Personalized Federated Learning with Feature Alignment and Classifier Collaboration 20 Jun 2023 TsingZ0/PFL-Non-IID/system/flcore/servers/servergpfl.py 88dc6530e6a80133 unverified Apache-2.0 (permissive)
Private Adaptive Optimization with Side Information 12 Feb 2022 litian96/adadps/federated/flearn/trainers/dp-fedadam.py a80f784cf78d88d9 unverified no licence file found · pointer only
Federated Learning Based on Dynamic Regularization 8 Nov 2021 TsingZ0/PFL-Non-IID/system/flcore/servers/serverdyn.py 0a6af52fc93a95a1 unverified Apache-2.0 (permissive)
FedBABU: Towards Enhanced Representation for Federated Image Classification 4 Jun 2021 TsingZ0/PFL-Non-IID/system/flcore/servers/serverbabu.py c9022996c28dd496 unverified Apache-2.0 (permissive)
FedBN: Federated Learning on Non-IID Features via Local Batch Normalization 15 Feb 2021 TsingZ0/PFL-Non-IID/system/flcore/servers/serverbn.py ab6103d2a317e40a unverified Apache-2.0 (permissive)
Ditto: Fair and Robust Federated Learning Through Personalization 8 Dec 2020 litian96/ditto/flearn/trainers_MTL/ditto.py 13cd97483b6a43de unverified MIT (permissive)
An Efficient Framework for Clustered Federated Learning 7 Jun 2020 jichan3751/ifca/femnist/ifca/models/server.py 78b8b86c447a8050 ran no licence file found · pointer only
Federated Optimization in Heterogeneous Networks 14 Dec 2018 zhuangdizhu/FedGen/FLAlgorithms/servers/serverFedProx.py 451d36a73c8babcf ran no licence file found · pointer only
Communication-Efficient Learning of Deep Networks from Decentralized Data 17 Feb 2016 krishnap25/trfa/models/server.py 97fedffecec3aab4 ran BSD-2-Clause (permissive)
Communication-Efficient Learning of Deep Networks from Decentralized Data 17 Feb 2016 zhuangdizhu/FedGen/FLAlgorithms/servers/serverpFedGen.py 1289a4420bf541e2 ran no licence file found · pointer only
Communication-Efficient Learning of Deep Networks from Decentralized Data 17 Feb 2016 TsingZ0/PFL-Non-IID/system/flcore/servers/serveravg.py 4a872374dd01c93c 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 1ec6ded80631df99 unverified MIT (permissive)
arXiv:Zhang_Subspace_Constraint_and_Contribution_Estimation_for_Heterogeneous_Federated_Learning_CVPR_2025_paper AVC2-UESTC/FedSCE/system/flcore/servers/serversce.py a67adcbb88aed3d3 unverified no licence file found · pointer only

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