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Sixing Yu

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The Landscape and Challenges of HPC Research and LLMs

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Feb 07, 2024
Le Chen, Nesreen K. Ahmed, Akash Dutta, Arijit Bhattacharjee, Sixing Yu, Quazi Ishtiaque Mahmud, Waqwoya Abebe, Hung Phan, Aishwarya Sarkar, Branden Butler, Niranjan Hasabnis, Gal Oren, Vy A. Vo, Juan Pablo Munoz, Theodore L. Willke, Tim Mattson, Ali Jannesari

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Bridging the Gap Between Foundation Models and Heterogeneous Federated Learning

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Oct 04, 2023
Sixing Yu, J. Pablo Muñoz, Ali Jannesari

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Federated Foundation Models: Privacy-Preserving and Collaborative Learning for Large Models

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May 19, 2023
Sixing Yu, J. Pablo Muñoz, Ali Jannesari

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Resource-Aware Heterogeneous Federated Learning using Neural Architecture Search

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Nov 09, 2022
Sixing Yu, Phuong Nguyen, Waqwoya Abebe, Justin Stanley, Pablo Munoz, Ali Jannesari

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Resource-aware Federated Learning using Knowledge Extraction and Multi-model Fusion

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Aug 16, 2022
Sixing Yu, Wei Qian, Ali Jannesari

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SPATL: Salient Parameter Aggregation and Transfer Learning for Heterogeneous Clients in Federated Learning

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Nov 29, 2021
Sixing Yu, Phuong Nguyen, Waqwoya Abebe, Ali Anwar, Ali Jannesari

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Adaptive Dynamic Pruning for Non-IID Federated Learning

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Jun 13, 2021
Sixing Yu, Phuong Nguyen, Ali Anwar, Ali Jannesari

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GNN-RL Compression: Topology-Aware Network Pruning using Multi-stage Graph Embedding and Reinforcement Learning

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Feb 05, 2021
Sixing Yu, Arya Mazaheri, Ali Jannesari

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Auto Graph Encoder-Decoder for Model Compression and Network Acceleration

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Dec 31, 2020
Sixing Yu, Arya Mazaheri, Ali Jannesari

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