Adaptive Personalized Federated Learning for Non-IID Data with Continual Distribution Shift
2024 IEEE/ACM 32ND INTERNATIONAL SYMPOSIUM ON QUALITY OF SERVICE, IWQOS(2024)
关键词
Domain Shift,Continuous Distribution,Federated Learning,Continuous Shift,non-IID Data,Training Data,Data Distribution,Local Data,Expectation Maximization,Local Distribution,Temporal Shift,Multiple Distributions,Mixture Proportions,Final Model,Training Dataset,Nighttime,Test Accuracy,Gaussian Mixture Model,Training Loss,Complex Datasets,Communication Rounds,Central Server,Federated Learning Model,CIFAR-100 Dataset,Mixed Dataset,Training Round,Linear Shift,Multiple Blocks,Cycle Period
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