adversary-augmented-simulation-for-evaluating-client-fairness-on-hyperledger-fabric

goppaコードからのコード

addressing-the-expectation-gap-for-goal-conveyance-from-humans-to-robots

a-comparative-study-of-real-time-implementable-cooperative-aerial-manipulation-systems

deepsolo-transformer-decoder-for-multilingual-text-spotting

heuristic-blending-for-improved-offline-rl-performance

trustworthiness-evaluation-in-concept-bottleneck-models

efficient-information-fusion-for-whole-slide-images


FedSI, a novel Bayesian personalized federated learning framework, achieves scalable inference and preserves network uncertainty by leveraging Bayesian methods to perform efficient subnetwork inference.


coremsg

efficient-uncertainty-quantification-in-personalized-federated-learning-via-bayesian-subnetwork-inference


Efficient Uncertainty Quantification in Personalized Federated Learning via Bayesian Subnetwork Inference


title_rewrite

Federated Subnetwork Inference for Efficient Uncertainty Quantification