$ show youngfish42/Awesome-FL

[account ↗] [repo ↗] DATA_RESEARCH ★ 2012 223 ● active (last update 5 months ago)

── AI DEEP ANALYSIS ──

reviewed by: deepseek/deepseek-v4-flash

This repository is a curated 'awesome list' for Federated Learning (FL) research, maintained as a Jekyll static site. It aggregates hundreds of linked GitHub repositories and DBLP search strategies. The core data asset is a machine-generated go.mod file that pseudo-pins the linked repositories as Go dependencies, produced by the add_dependent.py script which extracts GitHub URLs from README.md, queries the GitHub API for commit hashes, and writes a go.mod. However, this is not a functional Go module; it is a novelty lockfile. The dblp-search-keywords.md document provides a meticulous analysis of DBLP search syntax to discover FL papers without the 'federate' keyword. The repository has significant hybrid character: while it is primarily a content aggregation site (application-adjacent), its technical substance lies in the data exploration and search strategy documentation (research-oriented). The actual code is minimal and tightly coupled to the repository's specific structure, limiting reusability. The add_dependent.py script is a one-time scraper with hardcoded rate limiting and token placeholder, not a general-purpose tool.

── METRICS ──

RATING5.8/10

QUALITY5.5/10

MAINTENANCEactive

DRIFTlow

REPRODUCIBILITY2.0/10

CONTRIBUTORS18

VELOCITY0.61

OPEN ISSUES0

CLOSED ISSUES7

LAST COMMIT5 months ago

── TAGS ──

#awesome-list #federated-learning #research-papers #curated-list #jekyll-site #awesome #deep-learning #graph-neural-networks #machine-learning #tabular-data #federated-learning-framework #computer-vision #knowledge-graph #paper #security #natural-language-processing #information-retrieval #data-mining #database #system #artificial-intelligence #efficiency #privacy #graph

── GITHUB TOPICS ──

awesome deep-learning federated-learning graph-neural-networks machine-learning tabular-data federated-learning-framework computer-vision knowledge-graph paper security natural-language-processing information-retrieval data-mining database system artificial-intelligence efficiency privacy graph

── DEPENDENCY GRAPH ──

github.com/facebookresearch/foltr-es (go) v0.0.0-20210824090826-6f3bc33fc4d0

github.com/846468230/FedACK (go) v0.0.0-20230503133126-01e164bf61c8

github.com/AI-secure/CRFL (go) v0.0.0-20210805141254-aaad6072282f

github.com/AI-secure/DBA (go) v0.0.0-20210805140833-3cabf7ec3d99

github.com/AI-secure/FLBenchmark-toolkit (go) v0.0.0-20230614053223-7741b21530c5

github.com/AI-secure/FedGame (go) v0.0.0-20231012000228-e8822f5ef4b7

github.com/APPFL/APPFL (go) v0.4.0-20240105173437-0861fe71fcd9

github.com/AffectFAL/AffectFAL (go) v0.0.0-20230511014700-1bf0bd06ee49

github.com/AfoninAndrei/ICLR2022 (go) v0.0.0-20220312213553-f90d4c98657f

github.com/AllenBeau/pFedBayes (go) v0.0.0-20220731020604-2970ac973c46

github.com/AmberLJC/FLsystem-paper (go) v0.0.0-20231113183032-eab4da38902b

github.com/AnselCmy/FedE (go) v0.0.0-20220415122543-46f59931b689

github.com/AntixK/FedDyn (go) v0.0.0-20210602041355-17e42576880f

github.com/Astuary/Flow (go) v0.0.0-20230925175617-0df6b977319f

github.com/AvivSham/pFedHN (go) v0.0.0-20230214080523-1bc054975232

github.com/Awesome-Image-Registration-Organization/awesome-image-registration (go) 2023a-20231026143546-27e4e8ad1355

github.com/BHui97/PrivateFL (go) v0.0.0-20230804171605-e82bb3ed7e88

github.com/BUAA-CST/iLRG (go) v0.0.0-20230208061258-17e10f8b79bd

github.com/Batool-Salehi/FL-based-Sector-Selection (go) v0.0.0-20220601201808-94cd337d0b6c

github.com/CGCL-codes/pFedSD (go) v0.0.0-20221121022159-8eba09648e2c

github.com/Chain123/Meta-HAR (go) v0.0.0-20220505025924-e42b628b7a98

github.com/CharlieDinh/pFedMe (go) v0.0.0-20210614062442-caf24b1f954d

github.com/CharlieMat/EdgeCDR (go) v0.0.0-20220411013035-5f3b36547955

github.com/Chen-Junbao/SecureAggregation (go) v1.0-20220809091712-2984ff328b3a

github.com/FederatedAI/FATE (go) v2.0.0-20240112021620-22d64c05944d

github.com/FederatedAI/FATE-Serving (go) v2.1.7-20231109095833-c7602abcaf6e

github.com/FederatedAI/FedVision (go) v0.1-20210218083331-87c3fa5aee2a

github.com/FederatedAI/KubeFATE (go) v1.11.2-20231221095808-2a8ce82ca08d

github.com/FederatedAI/research (go) v0.0.0-20231229072929-ecfbbb34791f

github.com/FengHZ/KD3A (go) v0.0.0-20220830051510-70251c2f50d8

github.com/FuChong-cyber/label-inference-attacks (go) v0.0.0-20230627070250-98dc8d80a9fd

github.com/FumiyukiKato/FL-TEE (go) v0.0.0-20230510233336-4a81465e729d

github.com/GalaxyLearning/GFL (go) v0.0.0-20221104125434-007174933f4b

github.com/GanyuWang/VFL-CZOFO (go) v0.0.0-20231013032643-1ff9b3d94829

github.com/GwenLegate/GuidingLastLayerFLPretrain (go) v0.0.0-20231028061505-54b5d1ee2460

github.com/HKUST-KnowComp/FKGE (go) v0.0.0-20221206055950-cb73dfab50ed

github.com/HUST-EIC-AI-LAB/UCADI (go) 1.0-20220501183926-201a8370edd9

github.com/HaifengXia/PSE (go) v0.0.0-20230813082251-71e250fd56ca

github.com/Hanzhouu/FedBFPT (go) v0.0.0-20230518084100-c40a0b1387c0

github.com/HarlinLee/multitask-fusion (go) v0.0.0-20210925215717-1628fdd380bc

github.com/HewlettPackard/swarm-learning (go) v.2.1.0-20231011123814-9cbb0bd19c58

github.com/HikariX/MP-FedXGB (go) v0.0.0-20211109114436-46807ea6b16b

github.com/HuskyW/FFPA (go) v0.0.0-20211228125727-f96ceeafd657

github.com/Hypervoyager/PFL (go) v0.0.0-20230726142806-07d5a5b2d8bd

github.com/IBM/FedMA (go) v0.0.0-20200714204325-4b586a5a2200

github.com/IBM/federated-learning-lib (go) v2.0.1-20230801205124-d5914e338167

github.com/IBM/flexfl (go) v0.0.0-20230417134809-3d7258c60277

github.com/IBM/probabilistic-federated-neural-matching (go) v0.0.0-20190529192722-f44cf4281944

github.com/IdanAchituve/pFedGP (go) v0.0.0-20220303193434-38d833cbc592

github.com/JinheonBaek/FED-PUB (go) v0.0.0-20230702072013-302980ded3bb

github.com/JonasGeiping/breaching (go) v0.0.0-20230209003653-a51fba6b6372

github.com/Koukyosyumei/AIJack (go) v0.0.1-beta.2-20240101015718-1e7d1eb794c3

github.com/Koukyosyumei/NAIST-FedML-Experiments (go) v0.0.0-20211024042625-2795f6d7f59e

github.com/Kthyeon/ssfod (go) v0.0.0-20240103064101-9e114950a773

github.com/LTTM/FedSpace (go) v0.0.0-20230715020758-7afb9c1449c5

github.com/LabeliaLabs/distributed-learning-contributivity (go) v0.4.2-20211123164815-170ed8a660f7

github.com/LatticeX-Foundation/Rosetta (go) v1.0.0-20220426022052-1126c95b4701

github.com/Liangqiong/ViT-FL-main (go) v0.0.0-20230227143854-314bad454291

github.com/LightSecAgg/MLSys2022_anonymous (go) v0.0.0-20211025080057-ffda061ce8ed

github.com/LipingYi/FedGH (go) v0.0.0-20230806134156-ff50ac0caaf9

github.com/LipingYi/QSFL (go) v0.0.0-20230726161634-4b11db91dd04

github.com/LiruichenSpace/FedFusion (go) v0.0.0-20230319082333-91f3b3b9d134

github.com/MLOPTPSU/FedTorch (go) v0.1.1-20210714062542-ab8068dbc968

github.com/MSU-MLSys-Lab/FedRolex (go) v0.0.0-20230422042616-0b45557dca14

github.com/MTC-ETH/Federated-Learning-source (go) v0.0.0-20210129093220-cdfd69c39a5d

github.com/MarcioPorto/federated-phenotyping (go) v0.0.0-20200710015243-2d26ee765f0c

github.com/MediaBrain-SJTU/FedDG-GA (go) v0.0.0-20230614054938-8d03a24a2af2

github.com/MediaBrain-SJTU/FedDisco (go) v0.0.0-20231220144603-f3ea299b5c0d

github.com/MediaBrain-SJTU/FedGELA (go) v0.0.0-20231015070311-f6c84bcb5103

github.com/MediaBrain-SJTU/pFedGraph (go) v0.0.0-20230721055814-e1f81d12c2ad

github.com/MehdiSet/PerFedMask (go) v0.0.0-20230228152834-2ecd1651101e

github.com/MingruiLiu-ML-Lab/Federated-Sparse-Learning (go) v0.0.0-20220823145052-906ff22e27a0

github.com/MingruiLiu-ML-Lab/episode (go) v0.0.0-20230420160136-3a53a40d7c5a

github.com/NVlabs/FedFomo (go) v0.0.0-20211208003811-fe04f6641407

github.com/OpenMined/PySyft (go) v0.8.4b12-20230623104005-3b5b1aa65d4e

github.com/OpenMined/PyVertical (go) v0.1.0-20210416171734-90bc44bf5d7d

github.com/OpenMined/SyferText (go) v0.0.0-20210522193705-1e9a6c1fbbe3

github.com/Oxfordblue7/FedLIT (go) v0.0.0-20230416182137-ddef49144b9f

github.com/Oxfordblue7/GCFL (go) v0.0.0-20220710082553-a6691aea10bd

github.com/PKU-Chengxu/FLASH (go) v0.0.0-20220602030952-55cbede01318

github.com/PaddlePaddle/PaddleFL (go) v1.2.0-20230321011510-dcc00c5dff62

github.com/Princeton-SysML/FILM (go) v0.0.0-20230313202555-e895628881dd

github.com/Princeton-SysML/GradAttack (go) v0.0.0-20221106213817-802f230f7d8b

github.com/QinbinLi/FedKT (go) v0.0.0-20210521022432-0bb9a89ea266

github.com/QinbinLi/MOON (go) v0.0.0-20220627142744-8fcba3c4efc9

github.com/QuanlingZhao/FedHD (go) v0.0.0-20220721203642-430cdc2192d9

github.com/REIYANG/FedBCD (go) v0.0.0-20201227073300-a88f4bc1c4da

github.com/Rachelxuan11/FLAME (go) v0.0.0-20221012121611-be9acb0ce6ca

github.com/RamiHaf/Explainable-Federated-Learning-via-Random-Forests (go) v0.0.0-20210201132614-6762ed606fbe

github.com/Raymw/Federated-XGBoost (go) v0.0.0-20191013111551-fc43f411d4c1

github.com/Ruiquan5514/Federated-Linear-Contextual-Bandits (go) v0.0.0-20240103012452-5799200e6788

github.com/SAP-samples/machine-learning-diff-private-federated-learning (go) v0.0.0-20220614110403-cdcf93653a4c

github.com/SEED-VT/FedDebug (go) v1.0.3-20230213215225-64ffa2ee2e90

github.com/SMILELab-FL/FedLab (go) v1.3.0-20231209070856-49cf058e6ac3

github.com/SMILELab-FL/FedLab-benchmarks (go) v0.0.0-20230602022218-9b7575a76971

github.com/SMILELab-FL/FedLegal (go) v0.0.0-20231129033440-ebbd5da8a708

github.com/SMILELab-FL/FedVocab (go) v0.0.0-20221211023056-ea3a3f4166e3

github.com/SongjieXie/Fed-SC (go) v0.0.0-20230408052136-ac073692f02a

github.com/SonyAI/MocoSFL (go) v0.0.0-20230315040505-f1a7e61bf842

github.com/Soptq/Overlap-FedAvg (go) v1.0.0-20210620120753-dbdbb77a6fc8

── FILE BREAKDOWN ──

Files by Type (count)

Markdown

YAML

Git Ignore

Other (no ext)

HTML

Python

Other (.png)

Text

Other (.mod)

Files by Type (size)

Markdown

810KB

YAML

761KB

Other (.png)

168KB

Other (.mod)

33KB

Text

22KB

Other (no ext)

19KB

Python

4KB

Git Ignore

1KB

HTML

1KB

── KEY FINDINGS: REUSABLE CODE ──

The LLM identified 1 files worth highlighting for reuse:

A Python script that extracts all GitHub repository URLs from a markdown file (README.md), queries the GitHub API to get the latest commit hash and tag version for each repo, and writes a go.mod file. It demonstrates a brute-force approach to link traversal with explicit rate limiting (sleep(61)). While the pattern of scraping markdown links and enriching them with API data is conceptually reusable, the implementation is tightly coupled to the specific file structure and requires a hardcoded GitHub token. It is not idempotent and lacks error recovery for partial results. Useful as a reference for similar scraping tasks but not directly extractable.

file: add_dependent.py ↗ | tags: #web-scraping #api-client #markdown-parsing

── HISTORY ──

Last analyzed: 2026-09-06 05:02:21.637197

Next check: 2026-09-13 05:02:21.411566