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09/18/2023
FedLALR: Client-Specific Adaptive Learning Rates Achieve Linear Speedup for Non-IID Data
Federated learning is an emerging distributed machine learning method, e...
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05/17/2023
Are You Copying My Model? Protecting the Copyright of Large Language Models for EaaS via Backdoor Watermark
Large language models (LLMs) have demonstrated powerful capabilities in ...
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03/01/2023
AdaSAM: Boosting Sharpness-Aware Minimization with Adaptive Learning Rate and Momentum for Training Deep Neural Networks
Sharpness aware minimization (SAM) optimizer has been extensively explor...
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01/15/2023
Synthesizing Proxy Applications for MPI Programs
Proxy applications (proxy-apps) are basic tools for evaluating the perfo...
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10/17/2022
Effective and Efficient Query-aware Snippet Extraction for Web Search
Query-aware webpage snippet extraction is widely used in search engines ...
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05/22/2022
Robust Quantity-Aware Aggregation for Federated Learning
Federated learning (FL) enables multiple clients to collaboratively trai...
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02/28/2022
A Mutually Reinforced Framework for Pretrained Sentence Embeddings
The lack of labeled data is a major obstacle to learning high-quality se...
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02/14/2022
UA-FedRec: Untargeted Attack on Federated News Recommendation
News recommendation is critical for personalized news distribution. Fede...
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09/12/2021
Efficient-FedRec: Efficient Federated Learning Framework for Privacy-Preserving News Recommendation
News recommendation is critical for personalized news access. Most exist...
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05/11/2021
Agatha: Smart Contract for DNN Computation
Smart contract is one of the core features of Ethereum and has inspired ...
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05/06/2021
GraphFormers: GNN-nested Language Models for Linked Text Representation
Linked text representation is critical for many intelligent web applicat...
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04/22/2021
Hybrid Encoder: Towards Efficient and Precise Native AdsRecommendation via Hybrid Transformer Encoding Networks
Transformer encoding networks have been proved to be a powerful tool of ...
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04/15/2021
DebiasedRec: Bias-aware User Modeling and Click Prediction for Personalized News Recommendation
News recommendation is critical for personalized news access. Existing n...
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10/25/2019
Fast and Accurate Knowledge-Aware Document Representation Enhancement for News Recommendations
Knowledge graph contains well-structured external information and has sh...
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03/14/2018