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github_links.txt
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http://github.com/facebookresearch/foltr-es
https://github.com/846468230/FedACK
https://github.com/AI-secure/CRFL
https://github.com/AI-secure/DBA
https://github.com/AI-secure/FLBenchmark-toolkit
https://github.com/AI-secure/FedGame
https://github.com/APPFL/APPFL
https://github.com/Accenture/Labs-Federated-Learning
https://github.com/AffectFAL/AffectFAL
https://github.com/AfoninAndrei/ICLR2022
https://github.com/AllenBeau/pFedBayes
https://github.com/AmberLJC/FLsystem-paper
https://github.com/AnselCmy/FedE
https://github.com/AntixK/FedDyn
https://github.com/Astuary/Flow
https://github.com/AvivSham/pFedHN
https://github.com/Awesome-Image-Registration-Organization/awesome-image-registration
https://github.com/BHui97/PrivateFL
https://github.com/BUAA-CST/iLRG
https://github.com/Batool-Salehi/FL-based-Sector-Selection
https://github.com/CGCL-codes/pFedSD
https://github.com/Chain123/Meta-HAR
https://github.com/CharlieDinh/pFedMe
https://github.com/CharlieMat/EdgeCDR
https://github.com/Chen-Junbao/SecureAggregation
https://github.com/Chung-ju/VFedTrans
https://github.com/CityU-AIM-Group/FedPD
https://github.com/CodePothunter/fednp
https://github.com/DCALab-UNIPV/Turning-Privacy-preserving-Mechanisms-against-Federated-Learning
https://github.com/DeRafael/CAFE
https://github.com/Di-Chai/FedEval
https://github.com/DianboWork/FedDS
https://github.com/Distributed-Learning-Networking-Group/FedMoS/
https://github.com/EasyFL-AI/EasyFL
https://github.com/ElvisShaoYumeng/BLADE-FL
https://github.com/Emory-AIMS/PFA
https://github.com/FETS-AI/Front-End
https://github.com/FL-HAR/Graph-Federated-Learning-for-CIoT-Devices.git
https://github.com/FRM-Sec/FRM
https://github.com/FangXiuwen/AugHFL
https://github.com/FangXiuwen/Robust_FL
https://github.com/FedML-AI/FedCV
https://github.com/FedML-AI/FedGraphNN
https://github.com/FedML-AI/FedML
https://github.com/FedML-AI/FedNLP
https://github.com/FedML-AI/SpreadGNN
https://github.com/FederalLab/OpenFed
https://github.com/FederalLab/OpenFed/
https://github.com/FederatedAI/FATE
https://github.com/FederatedAI/FATE-Serving
https://github.com/FederatedAI/FedVision
https://github.com/FederatedAI/KubeFATE
https://github.com/FederatedAI/research
https://github.com/FengHZ/KD3A
https://github.com/FuChong-cyber/label-inference-attacks
https://github.com/FumiyukiKato/FL-TEE
https://github.com/GalaxyLearning/GFL
https://github.com/GanyuWang/VFL-CZOFO
https://github.com/GwenLegate/GuidingLastLayerFLPretrain
https://github.com/HKUST-KnowComp/FKGE
https://github.com/HUST-EIC-AI-LAB/UCADI
https://github.com/HaifengXia/PSE
https://github.com/Hanzhouu/FedBFPT
https://github.com/HarlinLee/multitask-fusion
https://github.com/HewlettPackard/swarm-learning
https://github.com/HikariX/MP-FedXGB
https://github.com/HuskyW/FFPA
https://github.com/Hypervoyager/PFL
https://github.com/IBM/FedMA
https://github.com/IBM/federated-learning-lib
https://github.com/IBM/flexfl
https://github.com/IBM/probabilistic-federated-neural-matching
https://github.com/IdanAchituve/pFedGP
https://github.com/IntelligentNetworkingLAB/Graph-Neural-Network-based-Federated-Learning-for-Heterogenous-Device-Network
https://github.com/J1nqianChen/FedKA
https://github.com/JYWa/FedNova
https://github.com/JackqqWang/pfedHR
https://github.com/JedMills/Faster-FL
https://github.com/JedMills/MTFL-For-Personalised-DNNs
https://github.com/JiahuaDong/FISS
https://github.com/JianXu95/FedPAC
https://github.com/JinheonBaek/FED-PUB
https://github.com/JonasGeiping/breaching
https://github.com/JonasGeiping/invertinggradients
https://github.com/KAI-YUE/ntk-fed
https://github.com/KAI-YUE/rog
https://github.com/KaiyuanZh/FLIP
https://github.com/KarhouTam/FedRecon
https://github.com/KarhouTam/Per-FedAvg
https://github.com/Kira0096/PBPFL
https://github.com/Koukyosyumei/AIJack
https://github.com/Koukyosyumei/NAIST-FedML-Experiments
https://github.com/Kthyeon/ssfod
https://github.com/LTTM/FedSpace
https://github.com/LabeliaLabs/distributed-learning-contributivity
https://github.com/LatticeX-Foundation/Rosetta
https://github.com/Liangqiong/ViT-FL-main
https://github.com/LightSecAgg/MLSys2022_anonymous
https://github.com/LipingYi/FedGH
https://github.com/LipingYi/QSFL
https://github.com/LiruichenSpace/FedFusion
https://github.com/MLOPTPSU/FedTorch
https://github.com/MSU-MLSys-Lab/FedRolex
https://github.com/MTC-ETH/Federated-Learning-source
https://github.com/MarcioPorto/federated-phenotyping
https://github.com/MediaBrain-SJTU/FedDG-GA
https://github.com/MediaBrain-SJTU/FedDisco
https://github.com/MediaBrain-SJTU/FedGELA
https://github.com/MediaBrain-SJTU/pFedGraph
https://github.com/MehdiSet/PerFedMask
https://github.com/MingruiLiu-ML-Lab/Federated-Sparse-Learning
https://github.com/MingruiLiu-ML-Lab/episode
https://github.com/MingruiLiu-ML-Lab/episode_plusplus
https://github.com/MoonkeyBoy/Federated-Unlearning-via-Class-Discriminative-Pruning
https://github.com/NVIDIA/NVFlare
https://github.com/NVlabs/FedFomo
https://github.com/OpenMined/PySyft
https://github.com/OpenMined/PyVertical
https://github.com/OpenMined/SyferText
https://github.com/Oxfordblue7/FedLIT
https://github.com/Oxfordblue7/GCFL
https://github.com/PKU-Chengxu/FLASH
https://github.com/PaddlePaddle/PaddleFL
https://github.com/PretomRoy/Defense-against-grad-inversion-attacks
https://github.com/Princeton-SysML/FILM
https://github.com/Princeton-SysML/GradAttack
https://github.com/QibingLee/OpenHealth
https://github.com/QinbinLi/FedKT
https://github.com/QinbinLi/MOON
https://github.com/QuanlingZhao/FedHD
https://github.com/REIYANG/FedBCD
https://github.com/Rachelxuan11/FLAME
https://github.com/RamiHaf/Explainable-Federated-Learning-via-Random-Forests
https://github.com/Raymw/Federated-XGBoost
https://github.com/Ruiquan5514/Federated-Linear-Contextual-Bandits
https://github.com/SAP-samples/machine-learning-diff-private-federated-learning
https://github.com/SEED-VT/FedDebug
https://github.com/SMILELab-FL/FedLab
https://github.com/SMILELab-FL/FedLab-benchmarks
https://github.com/SMILELab-FL/FedLegal
https://github.com/SMILELab-FL/FedVocab
https://github.com/Samuel-Maddock/federated-boosted-dp-trees
https://github.com/SamuelHorvath/VR_Byzantine
https://github.com/SaraBabakN/MFCL-NeurIPS23
https://github.com/ShahryarBQ/EF_HC
https://github.com/ShenGroup/FMAB
https://github.com/ShenGroup/PF_MAB
https://github.com/ShenglongZhou/FedADMM
https://github.com/SkellamMixtureMechanism/SMM
https://github.com/SongjieXie/Fed-SC
https://github.com/SonyAI/MocoSFL
https://github.com/Soptq/Overlap-FedAvg
https://github.com/Soptq/iccv23-3sfc
https://github.com/South-hw/FedPara_ICLR22
https://github.com/Spinozaaa/Federated-Long-tailed-Learning
https://github.com/Strange369/TypedDAG_on_HeteroMP
https://github.com/Substra/substra
https://github.com/Sungwon-Han/FEDCPA
https://github.com/SymbioticLab/FedScale
https://github.com/SymbioticLab/Oort
https://github.com/TCtower/GlueFL
https://github.com/TL-System/plato
https://github.com/TL-System/plato/
https://github.com/TalwalkarLab/leaf
https://github.com/Thinklab-SJTU/GAMF
https://github.com/TinfoilHat0/Defending-Against-Backdoors-with-Robust-Learning-Rate
https://github.com/TsingZ0/DBE
https://github.com/TsingZ0/GPFL
https://github.com/TsingZ0/PFL-Non-IID
https://github.com/TsingZ0/PFLlib
https://github.com/VITA-Group/MaT-FL
https://github.com/WeiNingChen/pbm
https://github.com/WenkeHuang/FSMAFL
https://github.com/WenkeHuang/RethinkFL
https://github.com/WwZzz/easyFL
https://github.com/XDUJiaweiChen/Dap-FL
https://github.com/XinyiYS/Gradient-Driven-Rewards-to-Guarantee-Fairness-in-Collaborative-Machine-Learning
https://github.com/Xtra-Computing/FedSim
https://github.com/Xtra-Computing/FedTree
https://github.com/Xtra-Computing/NIID-Bench
https://github.com/Xtra-Computing/PrivML
https://github.com/Xtra-Computing/SimFL
https://github.com/XunKaiLi/Awesome-GNN-Research
https://github.com/YMJS-Irfan/DP-FedSAM
https://github.com/YamingGuo98/FedIIR
https://github.com/YangLiangwei/FeSoG
https://github.com/YonghaiGong/FedADMM
https://github.com/YuchenLiu-a/byzantine-gas
https://github.com/Yujun-Shi/FedCLS
https://github.com/ZFancy/SFAT
https://github.com/ZJU-DIVER/ShapleyFL-Robust-Federated-Learning-Based-on-Shapley-Value
https://github.com/ZackZikaiXiao/FedGraB
https://github.com/Zoesgithub/FedReg
https://github.com/a514514772/ProgFed
https://github.com/abhimanyudubey/private_federated_linear_bandits
https://github.com/adap/flower
https://github.com/aelgabli/FedNew
https://github.com/ahmedcs/refl
https://github.com/aioz-ai/MultigraphFL
https://github.com/akhilmathurs/orchestra
https://github.com/albietz/ppsgd
https://github.com/alibaba/FederatedScope
https://github.com/alshedivat/fedpa
https://github.com/amitport/DRIVE-One-bit-Distributed-Mean-Estimation
https://github.com/amitport/EDEN-Distributed-Mean-Estimation
https://github.com/andylamp/federated_pca
https://github.com/andytu28/fps_pre-training
https://github.com/anishacharya/DeLiCoCo
https://github.com/appy1608/EMNLP2023-Multimodal-Complaint-Detection
https://github.com/arodio/ca-fed
https://github.com/baichuanzheng1/fedgat
https://github.com/balanced-fl/Addressing-Class-Imbalance-FL
https://github.com/baowenxuan/ATP
https://github.com/baowenxuan/fedcollab
https://github.com/basiralab/Fed-CBT
https://github.com/basiralab/reproducibleFedGNN
https://github.com/bdemo/pfedbred_public
https://github.com/benggggggggg/fedgame
https://github.com/bibikar/feddst
https://github.com/bingzhaozhu/xtab
https://github.com/bl166/wirelessfl-pdgnet
https://github.com/bokun-wang/moml
https://github.com/boxinz17/data-market-via-adaptive-sampling
https://github.com/bytedance/fedlearner
https://github.com/cap-ntu/FedReID
https://github.com/carbonati/fl-zoo
https://github.com/cfh19980612/FedGraph
https://github.com/chandra2thapa/SplitFed-When-Federated-Learning-Meets-Split-Learning
https://github.com/chaoyanghe/Awesome-Federated-Learning
https://github.com/chaoyitud/LeadFL
https://github.com/chuanting/fedda
https://github.com/chunmeifeng/FedPR
https://github.com/chunmeifeng/fedins
https://github.com/cisco-open/flame
https://github.com/citychan/federated-dpms
https://github.com/clreda/near-optimal-federated
https://github.com/clu5/federated-conformal
https://github.com/codymlewis/viceroy
https://github.com/conditionWang/FCIL
https://github.com/corentingiraud/federated-learning-secure-aggregation
https://github.com/cugzj/KT-pFL
https://github.com/cuhksz-nlp/ASA-TM
https://github.com/cuhksz-nlp/GCASeg
https://github.com/cuis15/FCFL
https://github.com/cuis15/learning-to-collaborate
https://github.com/culiver/SPACE
https://github.com/cyberthreat-datasets/ctdd-2021-os-syslogs
https://github.com/cynricfu/FedHGN
https://github.com/cynricfu/fedhgn
https://github.com/cyrilli/Async-LinUCB
https://github.com/cyyever/distributed_learning_simulator
https://github.com/czhang024/CI-Net
https://github.com/daiqing98/FedCIL
https://github.com/daizhongxiang/Differentially-Private-Federated-Bayesian-Optimization
https://github.com/daizhongxiang/Federated_Bayesian_Optimization
https://github.com/dawenzi098/SFL-Structural-Federated-Learning
https://github.com/debcaldarola/fedsam
https://github.com/deep1401/fedmoji
https://github.com/dem123456789/HeteroFL-Computation-and-Communication-Efficient-Federated-Learning-for-Heterogeneous-Clients
https://github.com/deu30303/feddefender
https://github.com/divyansh03/fedexp
https://github.com/dongzizhu/FedDA
https://github.com/dual-grp/DONE
https://github.com/dual-grp/fedu_fmtl
https://github.com/dunchen/AsyncDrop__Release
https://github.com/ebagdasa/backdoor_federated_learning
https://github.com/ebagdasa/backdoors101
https://github.com/ellenxtan/ifedtree
https://github.com/eniac/flamingo
https://github.com/enosair/federated-fdp
https://github.com/eric-ai-lab/FedVLN
https://github.com/eth-sri/bayes-framework-leakage
https://github.com/eth-sri/tableak
https://github.com/exquisite1210/PT-FUCH_P
https://github.com/facebookresearch/FLSim
https://github.com/facebookresearch/canife
https://github.com/facebookresearch/dp_compression
https://github.com/facebookresearch/where_to_begin
https://github.com/farzanfarnia/RobustFL
https://github.com/fedego/fedego
https://github.com/fedlearnAI/fedlearn-algo
https://github.com/fio1982/FlexiFed
https://github.com/flair-thu/creamfl
https://github.com/flint-xf-fan/Byzantine-Federeated-RL
https://github.com/gamarcad/samba-demo
https://github.com/gaoliang13/FedDC
https://github.com/garyxcheng/personalized-federated-learning
https://github.com/garyzhang99/DM-PFL
https://github.com/gcfgae/GCFGAE
https://github.com/gdisag/gradient_disaggregation
https://github.com/ghafeleb/Private-NonConvex-Federated-Learning-Without-a-Trusted-Server
https://github.com/giemp95/feddti
https://github.com/gingsmith/fmtl
https://github.com/git-disl/Lockdown
https://github.com/git-disl/STDLens
https://github.com/git-disl/scale-fl
https://github.com/gkaissis/PriMIA
https://github.com/google-research/dataset_grouper
https://github.com/google-research/federated
https://github.com/google/fedjax
https://github.com/guopengf/Auto-FedRL
https://github.com/guopengf/FL-MRCM
https://github.com/guskarls/dfl-pens
https://github.com/hanguo97/expectation-propagation
https://github.com/hangxu0304/DeepReduce
https://github.com/haoyangliASTAPLE/3DFed
https://github.com/haoyuzhao123/coreset-vfl-codes
https://github.com/haozhaowang/DaFKD2023
https://github.com/haozzh/FedCR
https://github.com/harliwu/fedagrac
https://github.com/harliwu/fedamd
https://github.com/hasakiXie123/FedCMR
https://github.com/hfzhang31/A3FL
https://github.com/hgh0545/graph-fraudster
https://github.com/hit-mdc/FedTSC-FedST
https://github.com/hmgxr128/MIFA_code/
https://github.com/hongliny/FCO-ICML21
https://github.com/hongliny/FedAc-NeurIPS20
https://github.com/hongliny/sharp-bounds-for-fedavg-and-continuous-perspective
https://github.com/hongyouc/Fed-RoD
https://github.com/hongyouc/fedbe
https://github.com/huerdong/FedVert-Experiments
https://github.com/huweibo/Awesome-Federated-Learning-on-Graph-and-GNN-papers
https://github.com/hxwujinze/federated-deep-knowledge-tracing
https://github.com/hyhmia/DisTrans
https://github.com/iQua/flsim
https://github.com/ielab/2022-SIGIR-noniid-foltr
https://github.com/ignavierng/notears-admm
https://github.com/illidanlab/FADE
https://github.com/illidanlab/FOSTER
https://github.com/illidanlab/SplitMix
https://github.com/imguangyu/fedperfix
https://github.com/imkevinkuo/noisy-eval-in-fl
https://github.com/innovation-cat/Awesome-Federated-Machine-Learning
https://github.com/inspire-group/ModelPoisoning
https://github.com/insujeon/MetaVD
https://github.com/intel/openfl
https://github.com/international-explore/awesome-privacy-chinese
https://github.com/iwang05/FLuID
https://github.com/jackie840129/fedfr
https://github.com/jcwang123/fedlc
https://github.com/jd-9n/9nfl
https://github.com/jedmills/fedgbo
https://github.com/jeremy313/FL-WBC
https://github.com/jeremy313/Soteria
https://github.com/jhcknzzm/Federated-Learning-Backdoor/
https://github.com/jhoon-oh/FedBABU
https://github.com/jialinyi94/doubly-stochastic-federataed-bandit
https://github.com/jianyizhang123/FLOP
https://github.com/jiayunz/fedalign
https://github.com/jichan3751/ifca
https://github.com/jinghuichen/focused-flip-federated-backdoor-attack
https://github.com/jinkyu032/FedMLB
https://github.com/jma78/FedGTF-EF
https://github.com/junyizhu-ai/confidence_aware_pfl
https://github.com/junyizhu-ai/surrogate_model_extension
https://github.com/jw9msjwjnpdrlfw/tsfl
https://github.com/kaiyuanmifen/FederatedNLP
https://github.com/kiddyboots216/CommEfficient
https://github.com/konstmish/rr_prox_fed
https://github.com/kpdonahue/model_sharing_games
https://github.com/krishnap25/FL_partial_personalization
https://github.com/kxzxvbk/Fling
https://github.com/lancopku/fedmnmt
https://github.com/layer6ai-labs/ProxyFL
https://github.com/lebyni/PFA
https://github.com/lgcollins/FedRep
https://github.com/liboyue/beer
https://github.com/liecn/PyramidFL
https://github.com/liehe/byzantine-robust-noniid-optimizer
https://github.com/lingjuanlv/FPPDL
https://github.com/lins-lab/fedbr
https://github.com/liqi16/martfl
https://github.com/litian96/FedProx
https://github.com/litian96/ditto
https://github.com/litian96/fair_flearn
https://github.com/littlesunlxy/fedpu-torch
https://github.com/liuquande/FedDG-ELCFS
https://github.com/liyipeng00/convergence
https://github.com/ljaiverson/pFL-APPLE
https://github.com/ljaiverson/pgfed
https://github.com/ljb121002/fednar
https://github.com/lkyddd/gradma
https://github.com/llm-eff/FedPepTAO
https://github.com/llpilla/energy-optimal-federated-learning
https://github.com/lokinko/Federated-Learning
https://github.com/lowya/private-federated-learning-without-a-trusted-server
https://github.com/lunanbit/FedUL
https://github.com/luozhengquan/DFL
https://github.com/lwz001/FML-ST
https://github.com/lx10077/fedavgpy
https://github.com/lxcnju/FedRepo
https://github.com/lzcemma/RACE_Distance
https://github.com/maiph123/verticalgnn
https://github.com/matenure/federated_feature_fusion
https://github.com/maxencenoble/Differential-Privacy-for-Heterogeneous-Federated-Learning
https://github.com/maxinge8698/FedID
https://github.com/mc-nya/FedNest
https://github.com/mccorby/PhotoLabeller
https://github.com/med-air/FedBN
https://github.com/med-air/HarmoFL
https://github.com/melodi-lab/divfl
https://github.com/mengcz13/KDD2021_CNFGNN
https://github.com/microsoft/FedDrift
https://github.com/microsoft/msrflute
https://github.com/minglllli/CBAFed
https://github.com/mkhodak/fedex
https://github.com/ml-postech/gradient-inversion-generative-image-prior
https://github.com/ml-unito/federation_boosting
https://github.com/mlcommons/MedPerf
https://github.com/mmendiet/FedAlign
https://github.com/mmorafah/pacfl
https://github.com/morningD/FlexCFL
https://github.com/morningD/GrouProx
https://github.com/morningd/flexcfl
https://github.com/mtang724/Self-Balancing-Federated-Learning
https://github.com/mysteryresearcher/dasha
https://github.com/nds2022/SGBoost
https://github.com/nhatminh/FEDL-INFOCOM
https://github.com/nju-websoft/FedLU
https://github.com/nlokeshiisc/SFedAvg-AAAI21
https://github.com/nlokeshiisc/sfedavg-aaai21
https://github.com/nusdbsystem/falcon
https://github.com/nusdbsystem/pivot
https://github.com/omarfoq/FedEM
https://github.com/omarfoq/communication-in-cross-silo-fl
https://github.com/omarfoq/knn-per
https://github.com/omarfoq/streaming-fl
https://github.com/optimization-ai/icml2023_fedxl
https://github.com/orionw/multilingual-federated-learning
https://github.com/osu-nlp-group/fl4semanticparsing
https://github.com/owkin/FLamby
https://github.com/owkin/sratta
https://github.com/pasquini-dario/eludingsecureaggregation
https://github.com/pengyang7881187/fedrl
https://github.com/peterhan91/Thorax_GAN
https://github.com/pierreHmbt/FedCP-QQ
https://github.com/pps-lab/rofl-project-code
https://github.com/primihub/primihub
https://github.com/privacytrustlab/ml_privacy_meter
https://github.com/purp1eHaze/FedIPR
https://github.com/qizhuang-qz/FedCSPC
https://github.com/raipranav/fcl-fedseit
https://github.com/ramshi236/Accelerated-Federated-Learning-Over-MAC-in-Heterogeneous-Networks
https://github.com/rand2ai/fedboost
https://github.com/rasmus-pagh/private-countsketch
https://github.com/raymin0223/LoGo
https://github.com/rdz98/fedrecattack
https://github.com/rithram/flynn
https://github.com/rlphilli/Collaborative-Incentives
https://github.com/rong-dai/DisPFL
https://github.com/royson/fedl2p/
https://github.com/sabersalehk/MRE_C
https://github.com/sail-research/iba
https://github.com/saist1993/dpnlp
https://github.com/sarapieri/fed_het
https://github.com/scaleoutsystems/fedn
https://github.com/secretflow/secretflow
https://github.com/sfu-db/FedRain-and-Frog
https://github.com/shahakash28/simc
https://github.com/shams-sam/FedOptim
https://github.com/shangxinyi/CReFF-FL
https://github.com/shengchaochen82/metepfl
https://github.com/shenzebang/CENTAUR-Privacy-Federated-Representation-Learning
https://github.com/shenzebang/Federated-Learning-Pytorch
https://github.com/siquanhuang/Multi-metrics_against_backdoors_in_FL
https://github.com/songw-sw/f2l
https://github.com/sparsefed/sparsefed
https://github.com/sungwon-han/fedx
https://github.com/sunjunaimer/TPAMI-LAQ
https://github.com/taokz/FedR
https://github.com/taoqi98/FedSampling
https://github.com/taoqi98/PrivateKT
https://github.com/teijyogen/secsv
https://github.com/tensorflow/federated
https://github.com/tfzhou/fedfa
https://github.com/tj-kim/pFedDef_v1
https://github.com/totilas/padadmm
https://github.com/trucndt/ami
https://github.com/tsingz0/fedala
https://github.com/tsingz0/fedcp
https://github.com/unc-optimization/FedDR
https://github.com/usc-sail/fed-multimodal
https://github.com/varnio/fedsim
https://github.com/vaseline555/superfed
https://github.com/venkatesh-saligrama/Personalized-Federated-Learning
https://github.com/viktorvaladi/fedval
https://github.com/visitworld123/fedfed
https://github.com/vrt1shjwlkr/NDSS21-Model-Poisoning
https://github.com/wanglun1996/secure-robust-federated-learning
https://github.com/weimingwill/awesome-federated-learning
https://github.com/wenkehuang/fccl
https://github.com/wenzhu23333/Differential-Privacy-Based-Federated-Learning
https://github.com/wingter562/SAFA
https://github.com/wizard1203/VHL
https://github.com/wnma3mz/FedLMD
https://github.com/wnn2000/fednoro
https://github.com/wrh14/learning_to_invert
https://github.com/wuch15/FedAttack
https://github.com/wuch15/FedPerGNN
https://github.com/wudonglei99/smartidx
https://github.com/wwzzz/fedgs
https://github.com/wyjeong/FedMatch
https://github.com/wyjeong/FedWeIT
https://github.com/xaynetwork/xaynet
https://github.com/xidongwu/D-AUPRC
https://github.com/xidongwu/Federated-Minimax-and-Conditional-Stochastic-Optimization/
https://github.com/xiyuanyang45/DynamicPFL
https://github.com/xj231/featureinference-vfl
https://github.com/xjiajiahao/federated-minimax
https://github.com/xkLi-Allen/FedGTA
https://github.com/xmed-lab/rscfed
https://github.com/xqlin98/Fair-yet-Equal-CML
https://github.com/xu-jingyi/fedcorr
https://github.com/xuchenhao001/AFL
https://github.com/yasar-rehman/fedvssl
https://github.com/ybdai7/chameleon-durable-backdoor
https://github.com/ycao5602/KAFAL
https://github.com/ycruan/FedSoft
https://github.com/yflyl613/fedrec
https://github.com/yh-yao/FedGCN
https://github.com/yh-yao/FedRule
https://github.com/yjw1029/Efficient-FedRec
https://github.com/yjw1029/ua-fedrec
https://github.com/youngfish42/FL-paper-update-tracker
https://github.com/yuetan031/fedproto
https://github.com/yuetan031/fedstar
https://github.com/yutong-dai/fednh
https://github.com/yuxuanzhang0713/fedcsr
https://github.com/yxdyc/pfedgate
https://github.com/yzhao062/anomaly-detection-resources
https://github.com/zaixizhang/FLDetector
https://github.com/zexilee/iccv-2023-fedetf
https://github.com/zexilee/icml-2023-fedlaw
https://github.com/zeyu-zh/TrustFL
https://github.com/zfan20/PFGNNPlus
https://github.com/zhangcx19/ijcai-23-pfedrec
https://github.com/zhanghangtao/poisoning-attack-on-fl
https://github.com/zhaohaoru/federated-clustering-of-bandits
https://github.com/zhenqincn/FedAPEN
https://github.com/zhuangdizhu/FedGen
https://github.com/zhuohangli/GGL
https://github.com/zhyczy/Fed-CO2
https://github.com/zj-jayzhang/Federated-Class-Continual-Learning
https://github.com/zjukg/maker
https://github.com/zkhku/fedsage
https://github.com/zlijingtao/ResSFL
https://github.com/zlz0414/FedDAR
https://github.com/zshuai8/FedGMM_ICML2023