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06/05/2023
Information Flow Control in Machine Learning through Modular Model Architecture
In today's machine learning (ML) models, any part of the training data c...
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03/10/2023
Towards MoE Deployment: Mitigating Inefficiencies in Mixture-of-Expert (MoE) Inference
Mixture-of-Experts (MoE) models have gained popularity in achieving stat...
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01/26/2023
GPU-based Private Information Retrieval for On-Device Machine Learning Inference
On-device machine learning (ML) inference can enable the use of private ...
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12/12/2022
Data Leakage via Access Patterns of Sparse Features in Deep Learning-based Recommendation Systems
Online personalized recommendation services are generally hosted in the ...
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12/02/2022
DisaggRec: Architecting Disaggregated Systems for Large-Scale Personalized Recommendation
Deep learning-based personalized recommendation systems are widely used ...
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09/12/2022
Cocktail Party Attack: Breaking Aggregation-Based Privacy in Federated Learning using Independent Component Analysis
Federated learning (FL) aims to perform privacy-preserving machine learn...
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06/08/2022
Memory-Oriented Design-Space Exploration of Edge-AI Hardware for XR Applications
Low-Power Edge-AI capabilities are essential for on-device extended real...
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03/14/2022
Hercules: Heterogeneity-Aware Inference Serving for At-Scale Personalized Recommendation
Personalized recommendation is an important class of deep-learning appli...
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10/30/2021
Sustainable AI: Environmental Implications, Challenges and Opportunities
This paper explores the environmental impact of the super-linear growth ...
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05/18/2021
RecPipe: Co-designing Models and Hardware to Jointly Optimize Recommendation Quality and Performance
Deep learning recommendation systems must provide high quality, personal...
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10/28/2020
Chasing Carbon: The Elusive Environmental Footprint of Computing
Given recent algorithm, software, and hardware innovation, computing has...
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05/31/2020
Cheetah: Optimizations and Methods for PrivacyPreserving Inference via Homomorphic Encryption
As the application of deep learning continues to grow, so does the amoun...
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01/08/2020
DeepRecSys: A System for Optimizing End-To-End At-scale Neural Recommendation Inference
Neural personalized recommendation is the corner-stone of a wide collect...
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12/30/2019
RecNMP: Accelerating Personalized Recommendation with Near-Memory Processing
Personalized recommendation systems leverage deep learning models and ac...
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06/06/2019