FedRec+: A Federated Learning based Solution for Appliance Identification using Power Data in Households
I’m supposed to re-implement the following paper: https://arxiv.org/abs/2209.01338
The paper suggests exploring future directions such as providing theoretical guarantees for FedAR+, identifying alien appliances (unseen appliances in the training data), and detecting malicious clients that may attempt to compromise the federated learning process.
I would like to present a research paper which either implements any of the future directions or optimizes the current work in any way possible.
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