鶹ýӳ

CFP: 鶹ýӳ JSAC Special Issue on Private Information Retrieval, Private Coded Computing over Distributed Servers, and Privacy in Distributed Learning
This special issue is dedicated to communication theory, coding theory, information theory, signal processing, and networking aspects of privacy in information retrieval, privacy in coded computing over distributed servers, and privacy in distributed learning.
Mar 29, 2021

Call for Papers: 鶹ýӳ JSAC Special Issue on Private Information Retrieval, Private Coded Computing over Distributed Servers, and Privacy in Distributed Learning.

https://www.comsoc.org/publications/journals/ieee-jsac/cfp/private-information-retrieval-private-coded-computing-over.

The increasing prevalence of massive datasets makes the outsourcing of storage and computation tasks to distributed servers a necessity. This raises a number of concerns regarding the security and integrity of stored information, the privacy of accessing desired information, the communication overhead of distributed systems, the latency, reliability and complexity of distributed computing, and privacy in distributed training and learning systems. Recent breakthroughs from coding, communication and information theoretic perspectives have opened up exciting new research avenues for these topics. There are many theoretical and practical open problems. This special issue is dedicated to communication theory, coding theory, information theory, signal processing, and networking aspects of privacy in information retrieval, privacy in coded computing over distributed servers, and privacy in distributed learning. We solicit original papers in areas (not limited to):

  • Privacy in information retrieval and coded computing with practical constraints: upload constraints, storage constraints, computation constraints
  • Multi-user and multi-message privacy
  • Private search and privacy in systems with dependent messages
  • Joint security and privacy in information retrieval and coded computing
  • Role of side information on privacy
  • Privacy in distributed wireless systems
  • Privacy and security in learning and training systems, especially, in federated learning
  • Private computation and private routing in networks
  • Privacy in the presence of colluding, Byzantine, jamming attacks
  • Information retrieval systems under weak privacy constraints

Submission Guidelines

Authors should refer to the submission rules specified in the “Submit a Manuscript” section of the JSACto prepare their papers. Papers should be submitted throughaccording to the following schedule.

Important Dates

Manuscript Submission Deadline:1 June 2021
First Notification:1 September 2021
Revised Papers Due:1 October 2021
Acceptance Notification:1 November 2021
Final Manuscript Due:15 November 2021
Publication Date:First Quarter 2022

Guest Editors

Sennur Ulukus, University of Maryland

Salman Avestimehr, University of Southern California

Michael Gastpar, EPFL

Syed A Jafar, University of California Irvine

Ravi Tandon, University of Arizona

Chao Tian, Texas A&M University