Hybrid Electrical/Optical Switch Architectures for Training Distributed Deep Learning in Large-Scale von TRUONG, Thao-Nguyen, TAKANO, Ryousei

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Layout-Conscious Expandable Topology for Low-Degree Interconnection Networks von TRUONG, Thao-Nguyen, NGUYEN, Khanh-Van, FUJIWARA, Ikki, KOIBUCHI, Michihiro

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Efficient MPI‐AllReduce for large‐scale deep learning on GPU‐clusters von Thao Nguyen, Truong, Wahib, Mohamed, Takano, Ryousei

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High accurate and explainable multi-pill detection framework with graph neural network-assisted multimodal data fusion von Nguyen, Anh Duy, Pham, Huy Hieu, Trung, Huynh Thanh, Nguyen, Quoc Viet Hung, Truong, Thao Nguyen, Nguyen, Phi Le

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Impact of future climate change on river discharge and groundwater recharge: a case study of Ho Chi Minh City, Vietnam von Khoi, Dao Nguyen, Sam, Truong Thao, Chi, Nguyen Truong Thao, Linh, Do Quang, Nhi, Pham Thi Thao

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Optimizing Supply Chain Design under Demand Uncertainty with Quantity Discount Policy von Tsai, Jung-Fa, Tan, Peng-Nan, Truong, Nguyen-Thao, Tran, Dinh-Hieu, Lin, Ming-Hua

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Effective switchless inter-FPGA memory networks von Nguyen, Truong Thao, Pham, Kien Trung, Yamaguchi, Hiroshi, Urino, Yutaka, Koibuchi, Michihiro

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FedDCT: Federated Learning of Large Convolutional Neural Networks on Resource Constrained Devices using Divide and Collaborative Training von Nguyen, Quan, Pham, Hieu H, Kok-Seng Wong, Phi Le Nguyen, Truong Thao Nguyen, Do, Minh N

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A data-driven approach for high accurate spatiotemporal precipitation estimation von Pham, Minh Khiem, Nguyen, Phi Le, Vu, Viet Hung, Truong, Thao Nguyen, Vo-Van, Hoa, Ngo-Duc, Thanh

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High accurate and explainable multi-pill detection framework with graph neural network-assisted multimodal data fusion von Anh Duy Nguyen, Huy Hieu Pham, Huynh Thanh Trung, Quoc Viet Hung Nguyen, Thao Nguyen Truong, Phi Le Nguyen

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An Oracle for Guiding Large-Scale Model/Hybrid Parallel Training of Convolutional Neural Networks von Albert Njoroge Kahira, Truong Thao Nguyen, Leonardo Bautista Gomez, Takano, Ryousei, Badia, Rosa M, Wahib, Mohamed

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Combating Quality Distortion in Federated Learning with Collaborative Data Selection von Nguyen, Duc Long, Nguyen, Phi Le, Truong, Thao Nguyen

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One-bit second order sigma-delta modulator including a polynomial vector quantizer von Nguyen, Truong-Thao

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Fuzzy Q-Learning-Based Opportunistic Communication for MEC-Enhanced Vehicular Crowdsensing von Nguyen, Trung Thanh, Nguyen, Truong Thao, Nguyen, Thanh Hung, Nguyen, Phi Le

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CT to PET Translation: A Large-scale Dataset and Domain-Knowledge-Guided Diffusion Approach von Nguyen, Dac Thai, Nguyen, Trung Thanh, Nguyen, Huu Tien, Nguyen, Thanh Trung, Pham, Huy Hieu, Nguyen, Thanh Hung, Truong, Thao Nguyen, Nguyen, Phi Le

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FedCert: Federated Accuracy Certification von Nguyen, Minh Hieu, Nguyen, Huu Tien, Nguyen, Trung Thanh, Nguyen, Manh Duong, Hoang, Trong Nghia, Nguyen, Truong Thao, Nguyen, Phi Le

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KAKURENBO: Adaptively Hiding Samples in Deep Neural Network Training von Nguyen, Truong Thao, Gerofi, Balazs, Martinez-Noriega, Edgar Josafat, Trahay, François, Wahib, Mohamed

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CADIS: Handling Cluster-skewed Non-IID Data in Federated Learning with Clustered Aggregation and Knowledge DIStilled Regularization von Nguyen, Nang Hung, Nguyen, Duc Long, Nguyen, Trong Bang, Nguyen, Thanh-Hung, Pham, Huy Hieu, Nguyen, Truong Thao, Nguyen, Phi Le

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KAKURENBO: Adaptively Hiding Samples in Deep Neural Network Training von Truong Thao Nguyen, Gerofi, Balazs, Edgar Josafat Martinez-Noriega, Trahay, François, Wahib, Mohamed

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Scaling Distributed Deep Learning Workloads beyond the Memory Capacity with KARMA von Wahib, Mohamed, Zhang, Haoyu, Nguyen, Truong Thao, Drozd, Aleksandr, Domke, Jens, Zhang, Lingqi, Takano, Ryousei, Matsuoka, Satoshi

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