FedABC combines prediction-similarity scoring with loss-based client values and an increasing participation threshold, reporting higher accuracy with fewer clients on CIFAR-10.
6G the next horizon: From connected people and things to connected intelligence,
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FedABC: Attention-Based Client Selection for Federated Learning with Long-Term View
FedABC combines prediction-similarity scoring with loss-based client values and an increasing participation threshold, reporting higher accuracy with fewer clients on CIFAR-10.