IEEE Journal on Selected Areas in Information Theory

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Top Publications

• DeepJSCC- f : Deep Joint Source-Channel Coding of Images With Feedback

  David Burth Kurka;Deniz Gunduz

  (2020)
  342 Citations

• Turbo-Aggregate: Breaking the Quadratic Aggregation Barrier in Secure Federated Learning

  Jinhyun So;Basak Guler;A. Salman Avestimehr

  (2021)
  308 Citations

• Toward Moderate Overparameterization: Global Convergence Guarantees for Training Shallow Neural Networks

  Samet Oymak;Mahdi Soltanolkotabi

  (2020)
  215 Citations

• The Information Bottleneck Problem and its Applications in Machine Learning

  Ziv Goldfeld;Yury Polyanskiy

  (2020)
  123 Citations

• DeepJSCC-Q: Constellation Constrained Deep Joint Source-Channel Coding

  (2022)
  122 Citations

• Sequential (Quickest) Change Detection: Classical Results and New Directions

  Liyan Xie;Shaofeng Zou;Yao Xie;Venugopal V. Veeravalli

  (2021)
  118 Citations

• CodedPrivateML: A Fast and Privacy-Preserving Framework for Distributed Machine Learning

  Jinhyun So;Basak Guler;A. Salman Avestimehr

  (2021)
  114 Citations

• An Overview of Information-Theoretic Security and Privacy: Metrics, Limits and Applications

  Matthieu Bloch;Onur Gunlu;Aylin Yener;Frederique Oggier

  (2021)
  109 Citations

• Stochastic Gradient Coding for Straggler Mitigation in Distributed Learning

  Rawad Bitar;Mary Wootters;Salim El Rouayheb

  (2020)
  96 Citations

• Straggler-Resilient Federated Learning: Leveraging the Interplay Between Statistical Accuracy and System Heterogeneity

  (2020)
  89 Citations

• Secure Integrated Sensing and Communication

  (2023)
  51 Citations

• Shuffled Model of Federated Learning: Privacy, Accuracy and Communication Trade-Offs

  Antonious M. Girgis;Deepesh Data;Suhas Diggavi;Peter Kairouz

  (2021)
  46 Citations

• Analog Lagrange Coded Computing

  Mahdi Soleymani;Hessam Mahdavifar;A. Salman Avestimehr

  (2021)
  46 Citations

• All You Need Is Feedback: Communication With Block Attention Feedback Codes

  (2022)
  44 Citations

• Theoretical Perspectives on Deep Learning Methods in Inverse Problems

  (2022)
  39 Citations