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Together, We Compute: Exploring Secure Multi-Party Computation

Implementation with MOTION2NX Secure CNN Inferencing Implementation with MOTION2NX Environment Private Data De-Identification In a Trusted Execution Environment Private Data De-Identification In a Trusted Execution Environment Secure Enclaves Method DATA EXCHANGE PLATFORM Architecture of IUDX Platform Adaptive Self-Distillation for Minimizing Client Drift in Heterogeneous Federated Learning Authors: M. Yashwanth, G. K. Nayak, A. Singh, Y. Simmhan, A. Chakraborty Federated Learning …

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Secure CNN Inferencing Implementation with MOTION2NX

Implementation with MOTION2NX Secure CNN Inferencing Implementation with MOTION2NX Environment Private Data De-Identification In a Trusted Execution Environment Private Data De-Identification In a Trusted Execution Environment Secure Enclaves Method DATA EXCHANGE PLATFORM Architecture of IUDX Platform Adaptive Self-Distillation for Minimizing Client Drift in Heterogeneous Federated Learning Authors: M. Yashwanth, G. K. Nayak, A. Singh, Y. Simmhan, A. Chakraborty Federated Learning …

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User-Level Differentially Private Mean Estimation for Real-World Datasets

Environment Private Data De-Identification In a Trusted Execution Environment Private Data De-Identification In a Trusted Execution Environment Secure Enclaves Method DATA EXCHANGE PLATFORM Architecture of IUDX Platform Adaptive Self-Distillation for Minimizing Client Drift in Heterogeneous Federated Learning Authors: M. Yashwanth, G. K. Nayak, A. Singh, Y. Simmhan, A. Chakraborty Federated Learning (FL) is a machine learning paradigm that enables clients …

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Private Data De-Identification In a Trusted Execution Environment

Environment Private Data De-Identification In a Trusted Execution Environment Private Data De-Identification In a Trusted Execution Environment Secure Enclaves Method DATA EXCHANGE PLATFORM Architecture of IUDX Platform Adaptive Self-Distillation for Minimizing Client Drift in Heterogeneous Federated Learning Authors: M. Yashwanth, G. K. Nayak, A. Singh, Y. Simmhan, A. Chakraborty Federated Learning (FL) is a machine learning paradigm that enables clients …

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Collaborative Confidential Computing : Secure Enclaves

Secure Enclaves Method DATA EXCHANGE PLATFORM Architecture of IUDX Platform Adaptive Self-Distillation for Minimizing Client Drift in Heterogeneous Federated Learning Authors: M. Yashwanth, G. K. Nayak, A. Singh, Y. Simmhan, A. Chakraborty Federated Learning (FL) is a machine learning paradigm that enables clients to jointly train a global model by aggregating the locally trained models without sharing any local training …

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Private Data Quality Assessment for Smart Cities

Method DATA EXCHANGE PLATFORM Architecture of IUDX Platform Adaptive Self-Distillation for Minimizing Client Drift in Heterogeneous Federated Learning Authors: M. Yashwanth, G. K. Nayak, A. Singh, Y. Simmhan, A. Chakraborty Federated Learning (FL) is a machine learning paradigm that enables clients to jointly train a global model by aggregating the locally trained models without sharing any local training data. In …

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DPG Symposium Private Data Quality Assessment for Smart Cities

Method DATA EXCHANGE PLATFORM Architecture of IUDX Platform Adaptive Self-Distillation for Minimizing Client Drift in Heterogeneous Federated Learning Authors: M. Yashwanth, G. K. Nayak, A. Singh, Y. Simmhan, A. Chakraborty Federated Learning (FL) is a machine learning paradigm that enables clients to jointly train a global model by aggregating the locally trained models without sharing any local training data. In …

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DPG Symposium Private Data De-Identification within a Trusted Execution Environment

Method DATA EXCHANGE PLATFORM Architecture of IUDX Platform Adaptive Self-Distillation for Minimizing Client Drift in Heterogeneous Federated Learning Authors: M. Yashwanth, G. K. Nayak, A. Singh, Y. Simmhan, A. Chakraborty Federated Learning (FL) is a machine learning paradigm that enables clients to jointly train a global model by aggregating the locally trained models without sharing any local training data. In …

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Generating Synthetic Datasets with Privacy Guarantees

Method DATA EXCHANGE PLATFORM Architecture of IUDX Platform Adaptive Self-Distillation for Minimizing Client Drift in Heterogeneous Federated Learning Authors: M. Yashwanth, G. K. Nayak, A. Singh, Y. Simmhan, A. Chakraborty Federated Learning (FL) is a machine learning paradigm that enables clients to jointly train a global model by aggregating the locally trained models without sharing any local training data. In …

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Collaborative Confidential Computing : Secure Enclave

Method DATA EXCHANGE PLATFORM Architecture of IUDX Platform Adaptive Self-Distillation for Minimizing Client Drift in Heterogeneous Federated Learning Authors: M. Yashwanth, G. K. Nayak, A. Singh, Y. Simmhan, A. Chakraborty Federated Learning (FL) is a machine learning paradigm that enables clients to jointly train a global model by aggregating the locally trained models without sharing any local training data. In …

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