Maximilian Hoefler
PulseAugur coverage of Maximilian Hoefler — every cluster mentioning Maximilian Hoefler across labs, papers, and developer communities, ranked by signal.
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New research tackles privacy risks in neural network inference
Two new research papers explore methods to enhance privacy during neural network inference. The first paper, "A Privacy Study of Sparse Collaborative Inference," by Maximilian Hoefler, investigates the privacy risks ass…
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New FedKT-CSD framework enhances privacy in federated learning
Researchers have introduced FedKT-CSD, a novel framework for federated learning that enhances privacy and efficiency. This method utilizes a shared latent space derived from pretrained autoencoders, allowing clients to …
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New FedXDS method uses XAI to improve federated learning with data sharing
Researchers have introduced FedXDS, a novel approach that leverages explainable AI (XAI) techniques to address data heterogeneity in federated learning. This method uses feature attribution to identify and selectively s…