7 citations · 12 across the 7 of their papers we have counts for
7 papers
The MICCAI Federated Tumor Segmentation (FeTS) Challenge 2024: Efficient and Robust Aggregation Methods for Federated Learning
Akis Linardos, Sarthak Pati, Ujjwal Baid +25
We present the design and results of the MICCAI Federated Tumor Segmentation (FeTS) Challenge 2024, which focuses on federated learning (FL) for glioma sub-region segmentation in m…
Proof of Cloud: Data Center Execution Assurance for Confidential VMs
Filip Rezabek, Moe Mahhouk, Andrew Miller +3
Confidential Virtual Machines (CVMs) protect data in use by running workloads within hardware-enforced Trusted Execution Environments (TEEs). However, existing CVM attestation mech…
FedCLAM: Client Adaptive Momentum with Foreground Intensity Matching for Federated Medical Image Segmentation
Vasilis Siomos, Jonathan Passerat-Palmbach, Giacomo Tarroni
Federated learning is a decentralized training approach that keeps data under stakeholder control while achieving superior performance over isolated training. While inter-instituti…
Narrowing the Gap between TEEs Threat Model and Deployment Strategies
Filip Rezabek, Jonathan Passerat-Palmbach, Moe Mahhouk +2
Confidential Virtual Machines (CVMs) provide isolation guarantees for data in use, but their threat model does not include physical level protection and side-channel attacks. There…
An Architecture Built for Federated Learning: Addressing Data Heterogeneity through Adaptive Normalization-Free Feature Recalibration
Vasilis Siomos, Jonathan Passerat-Palmbach, Giacomo Tarroni
Federated learning is a decentralized collaborative training paradigm preserving stakeholders' data ownership while improving performance and generalization. However, statistical h…
Trust the Process: Zero-Knowledge Machine Learning to Enhance Trust in Generative AI Interactions
Bianca-Mihaela Ganescu, Jonathan Passerat-Palmbach
Generative AI, exemplified by models like transformers, has opened up new possibilities in various domains but also raised concerns about fairness, transparency and reliability, es…
Cooperative AI via Decentralized Commitment Devices
Xinyuan Sun, Davide Crapis, Matt Stephenson +3
Credible commitment devices have been a popular approach for robust multi-agent coordination. However, existing commitment mechanisms face limitations like privacy, integrity, and…