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Flower Framework
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튜토리얼

  • 연합 학습이란 무엇입니까?
  • Get started with Flower
  • Use a federated learning strategy
  • Build a strategy from scratch
  • Customize the client
  • Tutorial Notebooks
  • 빠른 시작 튜토리얼
    • Quickstart PyTorch
    • Quickstart TensorFlow
    • Quickstart MLX
    • Quickstart 🤗 Transformers
    • Quickstart JAX
    • Quickstart Pandas
    • Quickstart fastai
    • Quickstart PyTorch Lightning
    • Quickstart scikit-learn
    • Quickstart XGBoost
    • Quickstart Android
    • Quickstart iOS

How-to Guides

  • Build
    • Flower 설치
    • Configure pyproject.toml
    • Configure Clients
    • Design stateful ClientApps
    • 전략 사용하기
    • 전략 구현
    • 종합 평가 결과
    • Save and Load Model Checkpoints
    • 기본 제공 모드 사용
    • 차분 개인정보 보호 사용
    • Implement FedBN
    • Use CLI JSON output
    • Flower 1.0으로 업그레이드
    • Upgrade to Flower 1.13
  • Simulate
    • 시뮬레이션 실행
  • Deploy
    • Run Flower with the Deployment Engine
    • Enable TLS connections
    • SuperNodes 인증하기
    • Configure logging
    • Run Flower on GCP
    • Run Flower on Azure
    • Authenticate Users via OpenID Connect
    • Configure Audit Logging
    • Docker를 사용하여 Flower 실행
      • Quickstart with Docker
      • Enable TLS for Secure Connections
      • Persist the State of the SuperLink
      • Set Environment Variables
      • Run with Root User Privileges
      • Run ServerApp or ClientApp as a Subprocess
      • Pin a Docker Image to a Specific Version
      • Use a Different Flower Version
      • Quickstart with Docker Compose
      • Run Flower Quickstart Examples with Docker Compose
      • Deploy Flower on Multiple Machines with Docker Compose
    • Run Flower using Helm
      • Deploy SuperLink
      • Deploy SuperNode

설명

  • 연합 평가
  • 차등 프라이버시
  • Flower 아키텍처

참조

  • Reference
    • flwr
      • 클라이언트
        • start_client
        • start_numpy_client
        • 클라이언트
        • 클라이언트앱
        • NumPyClient
        • mod
          • adaptiveclipping_mod
          • arrays_size_mod
          • fixedclipping_mod
          • make_ffn
          • message_size_mod
          • secagg_mod
          • secaggplus_mod
          • LocalDpMod
      • 공통
        • array_from_numpy
        • bytes_to_ndarray
        • 구성
        • 이벤트
        • 로그
        • ndarray_to_bytes
        • ndarrays_to_parameters
        • now
        • parameters_to_ndarrays
        • 배열
        • ArrayRecord
        • 클라이언트 메시지
        • 코드
        • Config
        • ConfigRecord
        • 컨피그 레코드
        • 컨텍스트
        • 연결 해제
        • 오류
        • 평가
        • EvaluateRes
        • 이벤트 타입
        • FitIns
        • FitRes
        • GetParametersIns
        • GetParametersRes
        • GetPropertiesIns
        • GetPropertiesRes
        • Message
        • MessageType
        • MessageTypeLegacy
        • Metadata
        • MetricRecord
        • Metrics
        • MetricsRecord
        • NDArray
        • NDArrays
        • 파라미터
        • ParametersRecord
        • Properties
        • ReconnectIns
        • RecordDict
        • RecordSet
        • ServerMessage
        • Status
      • 서버
        • start_server
        • ClientManager
        • Driver
        • Grid
        • History
        • LegacyContext
        • Server
        • ServerApp
        • ServerAppComponents
        • ServerConfig
        • SimpleClientManager
        • strategy
          • Bulyan
          • DPFedAvgAdaptive
          • DPFedAvgFixed
          • DifferentialPrivacyClientSideAdaptiveClipping
          • DifferentialPrivacyClientSideFixedClipping
          • DifferentialPrivacyServerSideAdaptiveClipping
          • DifferentialPrivacyServerSideFixedClipping
          • FaultTolerantFedAvg
          • FedAdagrad
          • FedAdam
          • FedAvg
          • FedAvgAndroid
          • FedAvgM
          • FedMedian
          • FedOpt
          • FedProx
          • FedTrimmedAvg
          • FedXgbBagging
          • FedXgbCyclic
          • FedXgbNnAvg
          • FedYogi
          • Krum
          • QFedAvg
          • Strategy
        • workflow
          • DefaultWorkflow
          • SecAggPlusWorkflow
          • SecAggWorkflow
      • simulation
        • run_simulation
        • run_simulation_process
        • start_simulation
        • SimulationIoConnection
    • Flower CLI 참조
    • Example projects
    • Telemetry
    • Changelog
    • Flower Runtime Comparison
    • Flower Network Communication
    • Exit Codes
      • [0] SUCCESS
      • [1] GRACEFUL_EXIT_SIGINT
      • [2] GRACEFUL_EXIT_SIGQUIT
      • [3] GRACEFUL_EXIT_SIGTERM
      • [100] SUPERLINK_THREAD_CRASH
      • [101] SUPERLINK_LICENSE_INVALID
      • [102] SUPERLINK_LICENSE_MISSING
      • [103] SUPERLINK_LICENSE_URL_INVALID
      • [104] SUPERLINK_INVALID_ARGS
      • [300] SUPERNODE_REST_ADDRESS_INVALID
      • [301] SUPERNODE_NODE_AUTH_KEYS_REQUIRED
      • [302] SUPERNODE_NODE_AUTH_KEYS_INVALID
      • [600] COMMON_ADDRESS_INVALID
      • [601] COMMON_MISSING_EXTRA_REST
      • [602] COMMON_TLS_NOT_SUPPORTED
    • 자주 묻는 질문

기여자 문서

  • Contribute
    • GitHub에서 기여하기
    • 기여자로 시작하기
    • 개발 버전 설치하기
    • 가상 환경 설정
    • VSCode Dev Container에서 개발
    • 문서 작성
    • Flower 릴리즈 하기
    • 번역 기여
    • How to Build Docker Flower Images Locally
    • Public and private APIs
    • 훌륭한 첫 번째 기여
    • Secure Aggregation 프로토콜
  • v1.8.0
  • v1.9.0
  • v1.10.0
  • v1.11.0
  • v1.11.1
  • v1.12.0
  • v1.13.0
  • v1.13.1
  • v1.14.0
  • v1.15.0
  • v1.15.1
  • v1.15.2
  • v1.16.0
  • v1.17.0
  • v1.18.0
  • v1.19.0
  • v1.20.0
  • main
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[104] SUPERLINK_INVALID_ARGS¶

설명¶

The SuperLink was started with invalid arguments.

How to Resolve¶

Some of the arguments passed to the SuperLink are incompatible with each other. Check the SuperLink logs for additional help on how to resolve the issue.

Next
[300] SUPERNODE_REST_ADDRESS_INVALID
Previous
[103] SUPERLINK_LICENSE_URL_INVALID
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On this page
  • [104] SUPERLINK_INVALID_ARGS
    • 설명
    • How to Resolve