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Client

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

Client appears in the code Syntology harvested for 24 papers, as 27 distinct code bodies found in 27 places (a place is one code body under one paper). At least one of them ran in 10 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 Client 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 13 of the 27 distinct code bodies named Client; 14 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
13ran
14unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 11 of the 27 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

24 papers shown of 24, newest first; 27 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 3 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
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 ad2d574b586d82a6 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 26ccd2730c4ba2c8 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 f8115f7a0ec74940 unverified no licence file found · pointer only
FedFACT: A Provable Framework for Controllable Group-Fairness Calibration in Federated Learning 4 Jun 2025 liizhang/FedFACT/fedlearn/models/CGFFedclient.py cb7222840a2145ef unverified no licence file found · pointer only
Personalized Subgraph Federated Learning with Differentiable Auxiliary Projections 29 May 2025 JhuoW/FedAux/models/fedaux/client.py 18ff15ef6896061b unverified no licence file found · pointer only
Estimating before Debiasing: A Bayesian Approach to Detaching Prior Bias in Federated Semi-Supervised Learning 30 May 2024 GuogangZhu/FedDB/src/modules/modules.py acec6f9da990ed9b unverified Apache-2.0 (permissive)
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 f2e3ea1cfc9c8a5d unverified Apache-2.0 (permissive)
FedLPS: Heterogeneous Federated Learning for Multiple Tasks with Local Parameter Sharing 13 Feb 2024 jyzgh/FedLPS/fedml_api/standalone/fedavg/fedlps_api.py cf05c40ec5632e25 ran 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 42de4e65658e7ceb unverified Apache-2.0 (permissive)
Eliminating Domain Bias for Federated Learning in Representation Space 25 Nov 2023 tsingz0/dbe/system/flcore/clients/clientDBE.py bcb93a525852f945 ran Apache-2.0 (permissive)
Eliminating Domain Bias for Federated Learning in Representation Space 25 Nov 2023 TsingZ0/PFLlib/system/flcore/clients/clientdbe.py b34107b395a46a1f ran Apache-2.0 (permissive)
GPFL: Simultaneously Learning Global and Personalized Feature Information for Personalized Federated Learning 20 Aug 2023 TsingZ0/PFL-Non-IID/system/flcore/clients/clientgpfl.py 8929ca61a00a2583 ran Apache-2.0 (permissive)
Efficient Personalized Federated Learning via Sparse Model-Adaptation 4 May 2023 yxdyc/pfedgate/pFedGate/gated_client.py 4c66c7437573a0ed ran Apache-2.0 (permissive)
Make Landscape Flatter in Differentially Private Federated Learning 20 Mar 2023 YMJS-Irfan/DP-FedSAM/fedml_api/dpfedsam/dpfedsam_api.py 802338e78be8feeb ran no licence file found · pointer only
FedSpeed: Larger Local Interval, Less Communication Round, and Higher Generalization Accuracy 21 Feb 2023 woodenchild95/fl-simulator/client/fedspeed.py d921f3444b19cd1d unverified no licence file found · pointer only
Private Adaptive Optimization with Side Information 12 Feb 2022 litian96/adadps/federated/flearn/trainers/dp-fedadam.py b3afdf91f5d389e6 unverified no licence file found · pointer only
FedBABU: Towards Enhanced Representation for Federated Image Classification 4 Jun 2021 TsingZ0/PFL-Non-IID/system/flcore/servers/serverbabu.py 1048b2e2fa3a6bf4 ran Apache-2.0 (permissive)
Preservation of the Global Knowledge by Not-True Distillation in Federated Learning 6 Jun 2021 TsingZ0/PFL-Non-IID/system/flcore/clients/clientntd.py b2630c53b756f58c ran 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 2bdfc3745f9a344e ran Apache-2.0 (permissive)
Ditto: Fair and Robust Federated Learning Through Personalization 8 Dec 2020 s-huu/pmtl/models/client.py a1556d3952f305a1 ran no licence file found · pointer only
Ditto: Fair and Robust Federated Learning Through Personalization 8 Dec 2020 litian96/ditto/flearn/trainers_MTL/ditto.py 28ccbe9b7b7704b0 ran MIT (permissive)
Ditto: Fair and Robust Federated Learning Through Personalization 8 Dec 2020 TsingZ0/PFL-Non-IID/system/flcore/clients/clientditto.py 32af92c541fa7fd4 ran Apache-2.0 (permissive)
Federated Continual Learning with Weighted Inter-client Transfer 6 Mar 2020 wyjeong/FedWeIT/models/fedweit/client.py f4a79140d20f2973 unverified no licence file found · pointer only
Think Locally, Act Globally: Federated Learning with Local and Global Representations 6 Jan 2020 TsingZ0/PFL-Non-IID/system/flcore/clients/clientlg.py f4e73be5aa126345 unverified Apache-2.0 (permissive)
Federated Optimization in Heterogeneous Networks 14 Dec 2018 MediaBrain-SJTU/FedLESAM/client/fedprox.py 13d5f640c099c234 unverified 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 94a806a7b827ab03 ran Apache-2.0 (permissive)
arXiv:Zhang_Subspace_Constraint_and_Contribution_Estimation_for_Heterogeneous_Federated_Learning_CVPR_2025_paper AVC2-UESTC/FedSCE/system/flcore/servers/serversce.py e63f2cdc602d70c4 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