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Computer Science

D-Index
32
Citations
12004
World Ranking
12851
National Ranking
5179

Overview

Viveck R. Cadambe is affiliated with Pennsylvania State University in the United States and has contributed extensively to the field of computer science, with a particular focus on computer networks and communications. Their body of work also spans artificial intelligence, information systems, hardware and architecture, and biomedical engineering.

The main topics addressed in their research include:

  • Advanced Data Storage Technologies
  • Distributed systems and fault tolerance
  • Caching and Content Delivery
  • Cloud Computing and Resource Management
  • Privacy-Preserving Technologies in Data
  • Parallel Computing and Optimization Techniques
  • Stochastic Gradient Optimization Techniques

Cadambe has published in a variety of venues, with frequent publications in:

  • arXiv (Cornell University)
  • IEEE Journal on Selected Areas in Information Theory
  • Proceedings of the IEEE
  • Proceedings of the VLDB Endowment
  • ACM Transactions on Storage

Coauthors who have collaborated most frequently with Cadambe include:

  • Haewon Jeong
  • Flávio P. Calmon
  • Ateet Devulapalli
  • Bhuvan Urgaonkar
  • Pulkit Grover

Notable recent papers authored or coauthored by Cadambe include:

  • Addressing Unreliability in Emerging Devices and Non-von Neumann Architectures Using Coded Computing (2020), Proceedings of the IEEE
  • ϵ-Approximate Coded Matrix Multiplication Is Nearly Twice as Efficient as Exact Multiplication (2021), IEEE Journal on Selected Areas in Information Theory
  • LEGOStore (2022), Proceedings of the VLDB Endowment
  • Ares: Adaptive, Reconfigurable, Erasure coded, Atomic Storage (2022), ACM Transactions on Storage
  • Differentially Private Distributed Matrix Multiplication: Fundamental Accuracy-Privacy Trade-Off Limits (2022), 2022 IEEE International Symposium on Information Theory (ISIT)

Best Publications

  • Interference Alignment and Degrees of Freedom of the $K$ -User Interference Channel

    V.R. Cadambe;S.A. Jafar

  • A Distributed Numerical Approach to Interference Alignment and Applications to Wireless Interference Networks

    K Gomadam;V R Cadambe;S A Jafar

  • Approaching the Capacity of Wireless Networks through Distributed Interference Alignment

    K. Gomadam;V.R. Cadambe;S.A. Jafar

  • Interference Alignment and the Degrees of Freedom for the K User Interference Channel

    Viveck R. Cadambe;Syed Ali Jafar

  • Interference Alignment and the Degrees of Freedom of Wireless $X$ Networks

    V.R. Cadambe;S.A. Jafar

  • “Short-Dot”: Computing Large Linear Transforms Distributedly Using Coded Short Dot Products

    Sanghamitra Dutta;Viveck Cadambe;Pulkit Grover

  • Interference Alignment and Spatial Degrees of Freedom for the K User Interference Channel

    V.R. Cadambe;S.A. Jafar

  • Interference Alignment With Asymmetric Complex Signaling—Settling the Høst-Madsen–Nosratinia Conjecture

    V R Cadambe;S A Jafar;Chenwei Wang

  • Repair Optimal Erasure Codes Through Hadamard Designs

    DimitrisS. Papailiopoulos;Alexandros G. Dimakis;Viveck R. Cadambe

  • On the Optimal Recovery Threshold of Coded Matrix Multiplication

    Sanghamitra Dutta;Mohammad Fahim;Farzin Haddadpour;Haewon Jeong

  • Degrees of Freedom of Wireless Networks With Relays, Feedback, Cooperation, and Full Duplex Operation

    V.R. Cadambe;S.A. Jafar

  • Asymptotic Interference Alignment for Optimal Repair of MDS Codes in Distributed Storage

    V. R. Cadambe;S. A. Jafar;H. Maleki;K. Ramchandran

  • Interference Alignment on the Deterministic Channel and Application to Fully Connected Gaussian Interference Networks

    V.R. Cadambe;S.A. Jafar;S. Shamai

  • Index Coding—An Interference Alignment Perspective

    Hamed Maleki;Viveck R. Cadambe;Syed Ali Jafar

  • Bounds on the Size of Locally Recoverable Codes

    Viveck R. Cadambe;Arya Mazumdar

  • Coded convolution for parallel and distributed computing within a deadline

    Sanghamitra Dutta;Viveck Cadambe;Pulkit Grover

  • An upper bound on the size of locally recoverable codes

    Viveck Cadambe;Arya Mazumdar

  • Interference Alignment and the Generalized Degrees of Freedom of the $X$ Channel

    Chiachi Huang;V. R. Cadambe;S. A. Jafar

  • Permutation code: Optimal exact-repair of a single failed node in MDS code based distributed storage systems

    Viveck R. Cadambe;Cheng Huang;Jin Li

  • Local SGD with Periodic Averaging: Tighter Analysis and Adaptive Synchronization

    Farzin Haddadpour;Mohammad Mahdi Kamani;Mehrdad Mahdavi;Viveck R. Cadambe

  • Distributed Data Storage with Minimum Storage Regenerating Codes - Exact and Functional Repair are Asymptotically Equally Efficient

    Viveck R. Cadambe;Syed Ali Jafar;Hamed Maleki

  • On the optimal recovery threshold of coded matrix multiplication

    Mohammad Fahim;Haewon Jeong;Farzin Haddadpour;Sanghamitra Dutta

Frequent Co-Authors

Syed A. Jafar
Syed A. Jafar University of California, Irvine
Giuseppe Caire
Giuseppe Caire Technical University of Berlin
Jin Li
Jin Li Microsoft (United States)
Antonia M. Tulino
Antonia M. Tulino University of Naples Federico II
Alexandros G. Dimakis
Alexandros G. Dimakis The University of Texas at Austin
Shlomo Shamai
Shlomo Shamai Technion – Israel Institute of Technology
Cheng Huang
Cheng Huang Microsoft (United States)
Kannan Ramchandran
Kannan Ramchandran University of California, Berkeley

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