Technical Program

D.3: Distributed Matrix Multiplication

Session Type: Lecture
Track: Coded and Distributed Computation
Virtual Session: View on Virtual Platform
Session Chair: Ramtin Pedarsani, University of California, Santa Barbara
 
D.3.1: Multi-Cell Mobile Edge Coded Computing: Trading Communication and Computing for Distributed Matrix Multiplication
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         Kuikui Li; Shanghai Jiao Tong University
         Meixia Tao; Shanghai Jiao Tong University
         Jingjing Zhang; King’s College London
         Osvaldo Simeone; King’s College London
 
D.3.2: Local Re-encoding for Coded Matrix Multiplication
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         Xian Su; Florida International University
         Xiaomei Zhong; East China Jiaotong University
         Xiaodi Fan; Florida International University
         Jun Li; Florida International University
 
D.3.3: GCSA Codes with Noise Alignment for Secure Coded Multi-Party Batch Matrix Multiplication
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         Zhen Chen; University of California Irvine
         Zhuqing Jia; University of California Irvine
         Zhiying Wang; University of California Irvine
         Syed A. Jafar; University of California Irvine
 
D.3.4: Straggler-free Coding for Concurrent Matrix Multiplications
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         Pedro Soto; Florida International University
         Jun Li; Florida International University
 
D.3.5: Factored LT and Factored Raptor Codes for Large-Scale Distributed Matrix Multiplication
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         Asit Kumar Pradhan; Texas A&M University
         Anoosheh Heidarzadeh; Texas A&M University
         Krishna R. Narayanan; Texas A&M University
 
D.3.6: Entangled Polynomial Codes for Secure, Private, and Batch Distributed Matrix Multiplication: Breaking the ''Cubic'' Barrier
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         Qian Yu; University of Southern California
         Salman Avestimehr; University of Southern California
 
D.3.7: Bivariate Polynomial Coding for Straggler Exploitation with Heterogeneous Workers
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         Burak Hasırcıoğlu; Imperial College London
         Jesús Gómez-Vilardebó; Centre Tecnològic de Telecomunicacions de Catalunya (CTTC/CERCA)
         Deniz Gündüz; Imperial College London
 

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IEEE ISIT 2021

2021 IEEE International Symposium on Information Theory

11-16 July 2021 | Melbourne, Victoria, Australia

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