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06/08/2023
Test-Time Style Shifting: Handling Arbitrary Styles in Domain Generalization
In domain generalization (DG), the target domain is unknown when the mod...
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12/16/2022
SplitGP: Achieving Both Generalization and Personalization in Federated Learning
A fundamental challenge to providing edge-AI services is the need for a ...
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12/10/2020
Communication-Computation Efficient Secure Aggregation for Federated Learning
Federated learning has been spotlighted as a way to train neural network...
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01/29/2020
Cache Allocations for Consecutive Requests of Categorized Contents: Service Provider's Perspective
In wireless caching networks, a user generally has a concrete purpose of...
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10/14/2019
Election Coding for Distributed Learning: Protecting SignSGD against Byzantine Attacks
Recent advances in large-scale distributed learning algorithms have enab...
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01/11/2019
Coded Distributed Computing over Packet Erasure Channels
Coded computation is a framework which provides redundancy in distribute...
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07/20/2018