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03/18/2023
DC-CCL: Device-Cloud Collaborative Controlled Learning for Large Vision Models
Many large vision models have been deployed on the cloud for real-time s...
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11/11/2022
One-Time Model Adaptation to Heterogeneous Clients: An Intra-Client and Inter-Image Attention Design
The mainstream workflow of image recognition applications is first train...
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10/21/2022
On-Device Model Fine-Tuning with Label Correction in Recommender Systems
To meet the practical requirements of low latency, low cost, and good pr...
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05/30/2022
Walle: An End-to-End, General-Purpose, and Large-Scale Production System for Device-Cloud Collaborative Machine Learning
To break the bottlenecks of mainstream cloud-based machine learning (ML)...
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01/24/2022
On-Device Learning with Cloud-Coordinated Data Augmentation for Extreme Model Personalization in Recommender Systems
Data heterogeneity is an intrinsic property of recommender systems, maki...
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12/20/2020
Toward Understanding the Influence of Individual Clients in Federated Learning
Federated learning allows mobile clients to jointly train a global model...
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12/05/2020
Depth estimation on embedded computers for robot swarms in forest
Robot swarms to date are not prepared for autonomous navigation such as ...
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03/09/2020
Low-viewpoint forest depth dataset for sparse rover swarms
Rapid progress in embedded computing hardware increasingly enables on-bo...
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02/18/2020
Distributed Optimization over Block-Cyclic Data
We consider practical data characteristics underlying federated learning...
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02/18/2020
Distributed Non-Convex Optimization with Sublinear Speedup under Intermittent Client Availability
Federated learning is a new distributed machine learning framework, wher...
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11/28/2019
Online Pricing with Reserve Price Constraint for Personal Data Markets
The society's insatiable appetites for personal data are driving the eme...
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11/06/2019
Secure Federated Submodel Learning
Federated learning was proposed with an intriguing vision of achieving c...
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12/08/2018
Achieving Data Truthfulness and Privacy Preservation in Data Markets
As a significant business paradigm, many online information platforms ha...
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04/05/2018