Consensus Ensemble System for Traffic Flow Prediction von Zhan, Hongyuan, Gomes, Gabriel, Li, Xiaoye S., Madduri, Kamesh, Sim, Alex, Wu, Kesheng

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Convex Latent Effect Logit Model via Sparse and Low-rank Decomposition von Zhan, Hongyuan, Madduri, Kamesh, Shankar, Venkataraman

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PrE-Text: Training Language Models on Private Federated Data in the Age of LLMs von Hou, Charlie, Shrivastava, Akshat, Zhan, Hongyuan, Conway, Rylan, Le, Trang, Sagar, Adithya, Fanti, Giulia, Lazar, Daniel

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Evaluating Lottery Tickets Under Distributional Shifts von Desai, Shrey, Zhan, Hongyuan, Aly, Ahmed

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Privately Customizing Prefinetuning to Better Match User Data in Federated Learning von Hou, Charlie, Zhan, Hongyuan, Shrivastava, Akshat, Wang, Sid, Livshits, Aleksandr, Fanti, Giulia, Lazar, Daniel

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Llama Guard 3 Vision: Safeguarding Human-AI Image Understanding Conversations von Chi, Jianfeng, Karn, Ujjwal, Zhan, Hongyuan, Smith, Eric, Rando, Javier, Zhang, Yiming, Plawiak, Kate, Coudert, Zacharie Delpierre, Upasani, Kartikeya, Pasupuleti, Mahesh

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FedSynth: Gradient Compression via Synthetic Data in Federated Learning von Hu, Shengyuan, Goetz, Jack, Malik, Kshitiz, Zhan, Hongyuan, Liu, Zhe, Liu, Yue

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Llama Guard 3-1B-INT4: Compact and Efficient Safeguard for Human-AI Conversations von Fedorov, Igor, Plawiak, Kate, Wu, Lemeng, Elgamal, Tarek, Suda, Naveen, Smith, Eric, Zhan, Hongyuan, Chi, Jianfeng, Hulovatyy, Yuriy, Patel, Kimish, Liu, Zechun, Zhao, Changsheng, Shi, Yangyang, Blankevoort, Tijmen, Pasupuleti, Mahesh, Soran, Bilge, Coudert, Zacharie Delpierre, Alao, Rachad, Krishnamoorthi, Raghuraman, Chandra, Vikas

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Federated Learning with Buffered Asynchronous Aggregation von Nguyen, John, Malik, Kshitiz, Zhan, Hongyuan, Yousefpour, Ashkan, Rabbat, Michael, Malek, Mani, Huba, Dzmitry

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Convex Latent Effect Logit Model via Sparse and Low-rank Decomposition von Zhan, Hongyuan, Madduri, Kamesh, Venkataraman Shankar

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PrE-Text: Training Language Models on Private Federated Data in the Age of LLMs von Hou, Charlie, Shrivastava, Akshat, Zhan, Hongyuan, Conway, Rylan, Le, Trang, Sagar, Adithya, Fanti, Giulia, Lazar, Daniel

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Active Federated Learning for Assistant Systems von Malik, Kshitiz, Zhan, Hongyuan, Liu, Honglei, Aly, Ahmed, Moon, Seungwhan, Kumar, Anuj

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Multi-body system dynamics analysis method and device, electronic equipment and storage medium von DING HUA, LIU SHUHUI, ZHAN HONGYUAN

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Evaluating Lottery Tickets Under Distributional Shifts von Desai, Shrey, Zhan, Hongyuan, Aly, Ahmed

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Papaya: Practical, Private, and Scalable Federated Learning von Huba, Dzmitry, Nguyen, John, Malik, Kshitiz, Zhu, Ruiyu, Rabbat, Mike, Yousefpour, Ashkan, Wu, Carole-Jean, Zhan, Hongyuan, Ustinov, Pavel, Srinivas, Harish, Wang, Kaikai, Shoumikhin, Anthony, Min, Jesik, Malek, Mani

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Privately Customizing Prefinetuning to Better Match User Data in Federated Learning von Hou, Charlie, Zhan, Hongyuan, Shrivastava, Akshat, Wang, Sid, Livshits, Aleksandr, Fanti, Giulia, Lazar, Daniel

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Llama Guard 3 Vision: Safeguarding Human-AI Image Understanding Conversations von Chi, Jianfeng, Karn, Ujjwal, Zhan, Hongyuan, Smith, Eric, Rando, Javier, Zhang, Yiming, Plawiak, Kate, Zacharie Delpierre Coudert, Upasani, Kartikeya, Pasupuleti, Mahesh

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Efficient Online Hyperparameter Optimization for Kernel Ridge Regression with Applications to Traffic Time Series Prediction von Zhan, Hongyuan, Gomes, Gabriel, Li, Xiaoye S, Madduri, Kamesh, Wu, Kesheng

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FedSynth: Gradient Compression via Synthetic Data in Federated Learning von Hu, Shengyuan, Goetz, Jack, Malik, Kshitiz, Zhan, Hongyuan, Liu, Zhe, Liu, Yue

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Federated Learning with Buffered Asynchronous Aggregation von Nguyen, John, Malik, Kshitiz, Zhan, Hongyuan, Yousefpour, Ashkan, Rabbat, Michael, Malek, Mani, Huba, Dzmitry

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