IEEE Journal on Selected Areas in Information Theory, Volume 3 (original) (raw)

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Volume 3, Number 1, March 2022

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    Elza Erkip, Giuseppe Durisi, Robert W. Heath Jr., Thomas L. Marzetta, Petar Popovski, Meixia Tao, Sennur Ulukus:
    Editorial Issue on "Information Theoretic Foundations of Future Communication Systems". 2-4
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    Benjamin M. Zaidel, Ori Shental, Shlomo Shamai Shitz:
    Regular Sparse NOMA: Ultimate Performance in Closed Form. 5-20
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    Kuan Hsieh, Cynthia Rush, Ramji Venkataramanan:
    Near-Optimal Coding for Many-User Multiple Access Channels. 21-36
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    Sarthak Jain, Martina Cardone, Soheil Mohajer:
    Optimality of Energy-Efficient Scheduling and Relaying for Half-Duplex Relay Networks. 37-53
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    Felipe Gómez-Cuba:
    The SIMO Block Rayleigh Fading Channel Capacity Scaling With Number of Antennas, Bandwidth, and Coherence Length. 54-68
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    Vinayak Suresh, Eric Ruzomberka, Chih-Chun Wang, David J. Love:
    Causal Adversarial Channels With Feedback Snooping. 69-84
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    Baturalp Buyukates, Melih Bastopcu, Sennur Ulukus:
    Version Age of Information in Clustered Gossip Networks. 85-97
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    Mohamed A. Abd-Elmagid, Harpreet S. Dhillon:
    Age of Information in Multi-source Updating Systems Powered by Energy Harvesting. 98-112
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    Hamdi Joudeh, Frans M. J. Willems:
    Joint Communication and Binary State Detection. 113-124
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    Xiangxiang Xu, Shao-Lun Huang:
    On Distributed Learning With Constant Communication Bits. 125-134
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    Nishant Mehrotra, Ashutosh Sabharwal:
    When Does Multipath Improve Imaging Resolution? 135-146
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    Aditya Narayan Ravi, Alireza Vahid, Ilan Shomorony:
    Coded Shotgun Sequencing. 147-159

Volume 3, Number 2, June 2022

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    Mohammad Ali Maddah-Ali, Salman Avestimehr, Ravi Tandon, Changho Suh, Ayfer Özgür, Chao Tian, Tara Javidi, Giuseppe Caire:
    Guest Editorial. 161
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    Farzan Farnia, Amirhossein Reisizadeh, Ramtin Pedarsani, Ali Jadbabaie:
    An Optimal Transport Approach to Personalized Federated Learning. 162-171
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    Xinghan Wang, Anusha Lalitha, Tara Javidi, Farinaz Koushanfar:
    Peer-to-Peer Variational Federated Learning Over Arbitrary Graphs. 172-182
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    Rajarshi Saha, Mert Pilanci, Andrea J. Goldsmith:
    Efficient Randomized Subspace Embeddings for Distributed Optimization Under a Communication Budget. 183-196
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    Amirhossein Reisizadeh, Isidoros Tziotis, Hamed Hassani, Aryan Mokhtari, Ramtin Pedarsani:
    Straggler-Resilient Federated Learning: Leveraging the Interplay Between Statistical Accuracy and System Heterogeneity. 197-205
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    Jinho Choi:
    Communication-Efficient Distributed SGD Using Random Access for Over-the-Air Computation. 206-216
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    Shubham K. Jha, Prathamesh Mayekar, Himanshu Tyagi:
    Fundamental Limits of Over-the-Air Optimization: Are Analog Schemes Optimal? 217-228
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    Animesh Sakorikar, Lele Wang:
    Soft BIBD and Product Gradient Codes. 229-240
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    Anindya Bijoy Das, Aditya Ramamoorthy:
    A Unified Treatment of Partial Stragglers and Sparse Matrices in Coded Matrix Computation. 241-256
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    Jinbao Zhu, Songze Li:
    A Systematic Approach Towards Efficient Private Matrix Multiplication. 257-274
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    Christoph Hofmeister, Rawad Bitar, Marvin Xhemrishi, Antonia Wachter-Zeh:
    Secure Private and Adaptive Matrix Multiplication Beyond the Singleton Bound. 275-285
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    Shahrzad Kiani, Stark C. Draper:
    Successive Approximation Coding for Distributed Matrix Multiplication. 286-305
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    Lev Tauz, Lara Dolecek:
    Variable Coded Batch Matrix Multiplication. 306-320
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    Yinbin Ma, Daniela Tuninetti:
    A General Coded Caching Scheme for Scalar Linear Function Retrieval. 321-336
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    Ruida Zhou, Chao Tian, Hua Sun, James S. Plank:
    Two-Level Private Information Retrieval. 337-349
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    Zhusheng Wang, Sennur Ulukus:
    Symmetric Private Information Retrieval at the Private Information Retrieval Rate. 350-361
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    Shreya Gupta, Bh. Rekha Devi, V. Lalitha:
    On Rack-Aware Cooperative Regenerating Codes and Epsilon-MSCR Codes. 362-378
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    Hua Sun:
    Compound Secure Groupcast: Key Assignment for Selected Broadcasting. 379-389
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    Maiki Fujita, Takeshi Koshiba, Kenji Yasunaga:
    Perfectly Secure Message Transmission Against Rational Adversaries. 390-404
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    Canran Wang, Netanel Raviv:
    Breaking Blockchain's Communication Barrier With Coded Computation. 405-421
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    Amir Behrouzi-Far, Emina Soljanin:
    Balanced Nonadaptive Redundancy Scheduling. 422-430

Volume 3, Number 3, September 2022

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    Paul Hand, Reinhard Heckel, Jonathan Scarlett:
    Guest Editorial. 432
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    Jonathan Scarlett, Reinhard Heckel, Miguel R. D. Rodrigues, Paul Hand, Yonina C. Eldar:
    Theoretical Perspectives on Deep Learning Methods in Inverse Problems. 433-453
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    Chen Xu, Xiuyuan Cheng, Yao Xie:
    Invertible Neural Networks for Graph Prediction. 454-467
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    Shirin Shoushtari, Jiaming Liu, Yuyang Hu, Ulugbek S. Kamilov:
    Deep Model-Based Architectures for Inverse Problems Under Mismatched Priors. 468-480
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    Jonathan Sauder, Martin Genzel, Peter Jung:
    Gradient-Based Learning of Discrete Structured Measurement Operators for Signal Recovery. 481-492
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    Alireza Naderi, Yaniv Plan:
    Sparsity-Free Compressed Sensing With Applications to Generative Priors. 493-501
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    Aaron Berk, Simone Brugiapaglia, Babhru Joshi, Yaniv Plan, Matthew Scott, Özgür Yilmaz:
    A Coherence Parameter Characterizing Generative Compressed Sensing With Fourier Measurements. 502-512
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    Huan Liu, George Zhang, Jun Chen, Ashish Khisti:
    Cross-Domain Lossy Compression as Entropy Constrained Optimal Transport. 513-527
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    Saurav K. Shastri, Rizwan Ahmad, Christopher A. Metzler, Philip Schniter:
    Denoising Generalized Expectation-Consistent Approximation for MR Image Recovery. 528-542
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    Brandon Y. Feng, Mingyang Xie, Christopher A. Metzler:
    TurbuGAN: An Adversarial Learning Approach to Spatially-Varying Multiframe Blind Deconvolution With Applications to Imaging Through Turbulence. 543-556
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    Akash S. Doshi, Manan Gupta, Jeffrey G. Andrews:
    Over-the-Air Design of GAN Training for mmWave MIMO Channel Estimation. 557-573
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    Karl Chahine, Rajesh K. Mishra, Hyeji Kim:
    Inventing Codes for Channels With Active Feedback via Deep Learning. 574-586
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    Emre Ozfatura, Yulin Shao, Alberto G. Perotti, Branislav M. Popovic, Deniz Gündüz:
    All You Need Is Feedback: Communication With Block Attention Feedback Codes. 587-602

Volume 3, Number 4, December 2022

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    Meir Feder, Tsachy Weissman:
    Editorial Modern Compression. 604
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    Daniel Severo, James Townsend, Ashish Khisti, Alireza Makhzani, Karen Ullrich:
    Compressing Multisets With Large Alphabets. 605-615
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    Kengo Hashimoto, Ken-ichi Iwata:
    Optimality of Huffman Code in the Class of 1-Bit Delay Decodable Codes. 616-625
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    Maryam Hosseini, Narayana Santhanam:
    Tail Redundancy and its Characterization of Compression of Memoryless Sources. 626-638
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    Shubham K. Jha:
    Universal Gaussian Quantization With Side-Information Using Polar Lattices. 639-650
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    Aviv Adler, Jennifer Tang, Yury Polyanskiy:
    Efficient Representation of Large-Alphabet Probability Distributions. 651-663
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    Jun Chen, Lei Yu, Jia Wang, Wuxian Shi, Yiqun Ge, Wen Tong:
    On the Rate-Distortion-Perception Function. 664-673
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    Eric Lei, Hamed Hassani, Shirin Saeedi Bidokhti:
    Neural Estimation of the Rate-Distortion Function With Applications to Operational Source Coding. 674-686
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    Nirmal V. Shende, Aaron B. Wagner:
    Functional Covering of Point Processes. 687-698
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    Rony Bou Rouphael, Maël Le Treust:
    Strategic Successive Refinement With Interdependent Decoders Cost Functions. 699-710
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    Shashank Vatedka, Venkat Chandar, Aslan Tchamkerten:
    Local Decoding in Distributed Compression. 711-719
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    Tze-Yang Tung, David Burth Kurka, Mikolaj Jankowski, Deniz Gündüz:
    DeepJSCC-Q: Constellation Constrained Deep Joint Source-Channel Coding. 720-731
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    Sourya Basu, Lav R. Varshney:
    Universal and Succinct Source Coding of Deep Neural Networks. 732-745
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    Payam Delgosha, Venkat Anantharam:
    A Universal Low Complexity Compression Algorithm for Sparse Marked Graphs. 746-758
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    Travis C. Cuvelier, Takashi Tanaka, Robert W. Heath Jr.:
    Time-Invariant Prefix Coding for LQG Control. 759-772
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    Osama A. Hanna, Lin F. Yang, Christina Fragouli:
    Compression for Multi-Arm Bandits. 773-788
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    Francesco Pase, Deniz Gündüz, Michele Zorzi:
    Rate-Constrained Remote Contextual Bandits. 789-802
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    Yucheng Liu, Lawrence Ong, Parastoo Sadeghi, Sarah Johnson, Jörg Kliewer, Phee Lep Yeoh:
    Information Leakage in Index Coding With Sensitive and Nonsensitive Messages. 803-814
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    Berivan Isik, Tsachy Weissman:
    Lossy Compression of Noisy Data for Private and Data-Efficient Learning. 815-823
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    Sourya Basu, Daewon Seo, Lav R. Varshney:
    Hypergraph-Based Source Codes for Function Computation Under Maximal Distortion. 824-838

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