Search Results - "Ma, Yinbin"

A General Coded Caching Scheme for Scalar Linear Function Retrieval by Ma, Yinbin, Tuninetti, Daniela

“…Coded caching aims to minimize the network's peak-time communication load by leveraging the information pre-stored in the local caches at the users. The…”
Get full text

Time-Lapse Inversion of Anisotropic Velocity Linked to Geomechanics by Ma, Yinbin

“…Seismic reservoirs undergo production-induced changes, such as fluid saturation, realignment of the stress field, and variations in pressure. Repeated seismic…”
Get full text

On Demand-Private Hotplug Caching Systems by Ma, Yinbin, Tuninetti, Daniela

“…Maddah-Ali and Niesen (MAN) showed that coded caching can effectively mitigate peak-time network load by leveraging local caches at the end users. In the MAN…”
Get full text

A Novel Scheme for Coded Caching with Coded Placement in Small Memory Regime by Ma, Yinbin, Tuninetti, Daniela

“…This paper presents a novel achievable scheme for coded caching systems with $N$ files and $K$ users, specifically when $N \leq K$. This new scheme employs…”
Get full text

Coded Caching with Linear Coded Placement: Exact Tradeoff for the Three User Case by Ma, Yinbin, Tuninetti, Daniela

“…This paper studies the optimal memory-load trade-off in a coded caching system with K = 3 users under the constraint that the contents in the local caches are…”
Get full text

On Coded Caching Systems with Offline Users, with and without Demand Privacy against Colluding Users by Ma, Yinbin, Tuninetti, Daniela

“…Coded caching is a technique that leverages locally cached contents at the end users to reduce the network's peak-time communication load. Coded caching has…”
Get full text

New optimal trade-off point for coded caching systems with limited cache size by Ma, Yinbin, Tuninetti, Daniela

“…This paper presents a new achievable scheme for coded caching systems with $\mathsf{N}$ files, $\mathsf{K}=\mathsf{N}$ users, and cache size…”
Get full text

Demand Privacy in Hotplug Caching Systems by Ma, Yinbin, Tuninetti, Daniela

“…Coded caching, introduced by Maddah-Ali and Niesen (MAN), is a model where a server broadcasts multicast packets to users with a local cache that is leveraged…”
Get full text

Demand Privacy in Hotplug Caching Systems by Ma, Yinbin, Tuninetti, Daniela

“…Coded caching, introduced by Maddah-Ali and Niesen (MAN), is a model where a server broadcasts multicast packets to users with a local cache that is leveraged…”
Get full text

On Coded Caching Systems with Offline Users by Ma, Yinbin, Tuninetti, Daniela

“…Coded caching is a technique that leverages locally cached contents at the users to reduce the network's peak-time communication load. Coded caching achieves…”
Get full text

On Coded Caching Systems with Offline Users by Ma, Yinbin, Tuninetti, Daniela

“…Coded caching is a technique that leverages locally cached contents at the users to reduce the network's peak-time communication load. Coded caching achieves…”
Get full text

A General Coded Caching Scheme for Scalar Linear Function Retrieval by Ma, Yinbin, Tuninetti, Daniela

“…Coded caching aims to minimize the network's peak-time communication load by leveraging the information pre-stored in the users' local cache. The original…”
Get full text

A General Coded Caching Scheme for Scalar Linear Function Retrieval by Ma, Yinbin, Tuninetti, Daniela

“…Coded caching aims to minimize the network's peak-time communication load by leveraging the information pre-stored in the local caches at the users. The…”
Get full text

AutoShard: Automated Embedding Table Sharding for Recommender Systems by Zha, Daochen, Feng, Louis, Bhushanam, Bhargav, Choudhary, Dhruv, Nie, Jade, Tian, Yuandong, Chae, Jay, Ma, Yinbin, Kejariwal, Arun, Hu, Xia

“…Embedding learning is an important technique in deep recommendation models to map categorical features to dense vectors. However, the embedding tables often…”
Get full text

Disaggregated Multi-Tower: Topology-aware Modeling Technique for Efficient Large-Scale Recommendation by Luo, Liang, Zhang, Buyun, Tsang, Michael, Ma, Yinbin, Chu, Ching-Hsiang, Chen, Yuxin, Li, Shen, Hao, Yuchen, Zhao, Yanli, Lakshminarayanan, Guna, Wen, Ellie Dingqiao, Park, Jongsoo, Mudigere, Dheevatsa, Naumov, Maxim

“…We study a mismatch between the deep learning recommendation models' flat architecture, common distributed training paradigm and hierarchical data center…”
Get full text

A Seismic Shift in Scalable Acquisition Demands New Processing: Fiber-Optic Seismic Signal Retrieval in Urban Areas with Unsupervised Learning for Coherent Noise Removal by Martin, Eileen R., Huot, Fantine, Yinbin Ma, Cieplicki, Robert, Cole, Steve, Karrenbach, Martin, Biondi, Biondo L.

“…With the development of fiber-optic seismic acquisition systems, dense seismic monitoring of the near surface in urban areas is quickly becoming much easier…”
Get full text

Software-Hardware Co-design for Fast and Scalable Training of Deep Learning Recommendation Models by Mudigere, Dheevatsa, Hao, Yuchen, Huang, Jianyu, Jia, Zhihao, Tulloch, Andrew, Sridharan, Srinivas, Liu, Xing, Ozdal, Mustafa, Nie, Jade, Park, Jongsoo, Luo, Liang, Yang, Jie Amy, Gao, Leon, Ivchenko, Dmytro, Basant, Aarti, Hu, Yuxi, Yang, Jiyan, Ardestani, Ehsan K, Wang, Xiaodong, Komuravelli, Rakesh, Chu, Ching-Hsiang, Yilmaz, Serhat, Li, Huayu, Qian, Jiyuan, Feng, Zhuobo, Ma, Yinbin, Yang, Junjie, Wen, Ellie, Li, Hong, Yang, Lin, Sun, Chonglin, Zhao, Whitney, Melts, Dimitry, Dhulipala, Krishna, Kishore, KR, Graf, Tyler, Eisenman, Assaf, Matam, Kiran Kumar, Gangidi, Adi, Chen, Guoqiang Jerry, Krishnan, Manoj, Nayak, Avinash, Nair, Krishnakumar, Muthiah, Bharath, khorashadi, Mahmoud, Bhattacharya, Pallab, Lapukhov, Petr, Naumov, Maxim, Mathews, Ajit, Qiao, Lin, Smelyanskiy, Mikhail, Jia, Bill, Rao, Vijay

“…Deep learning recommendation models (DLRMs) are used across many business-critical services at Facebook and are the single largest AI application in terms of…”
Get full text

VKSE-MO： verifiable keyword search over encrypted data in multi-owner settings by Miao, Yinbin, Ma, Jianfeng, Liu, Ximeng, Zhang, Junwei, Liu, Zhiquan

“…Searchable encryption（SE） techniques allow cloud clients to easily store data and search encrypted data in a privacy-preserving manner, where most of SE…”
Get full text