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ORCIDIEEE Journal on Selected Areas in Information Theory, Volume 3
Volume 3, Number 1, March 2022
- 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 - Benjamin M. Zaidel, Ori Shental, Shlomo Shamai Shitz:
Regular Sparse NOMA: Ultimate Performance in Closed Form. 5-20 - Kuan Hsieh, Cynthia Rush, Ramji Venkataramanan:
Near-Optimal Coding for Many-User Multiple Access Channels. 21-36 - Sarthak Jain, Martina Cardone, Soheil Mohajer:
Optimality of Energy-Efficient Scheduling and Relaying for Half-Duplex Relay Networks. 37-53 - Felipe Gómez-Cuba:
The SIMO Block Rayleigh Fading Channel Capacity Scaling With Number of Antennas, Bandwidth, and Coherence Length. 54-68 - Vinayak Suresh, Eric Ruzomberka, Chih-Chun Wang, David J. Love:
Causal Adversarial Channels With Feedback Snooping. 69-84 - Baturalp Buyukates, Melih Bastopcu, Sennur Ulukus:
Version Age of Information in Clustered Gossip Networks. 85-97 - Mohamed A. Abd-Elmagid, Harpreet S. Dhillon:
Age of Information in Multi-source Updating Systems Powered by Energy Harvesting. 98-112 - Hamdi Joudeh, Frans M. J. Willems:
Joint Communication and Binary State Detection. 113-124 - Xiangxiang Xu, Shao-Lun Huang:
On Distributed Learning With Constant Communication Bits. 125-134 - Nishant Mehrotra, Ashutosh Sabharwal:
When Does Multipath Improve Imaging Resolution? 135-146 - Aditya Narayan Ravi, Alireza Vahid, Ilan Shomorony:
Coded Shotgun Sequencing. 147-159
Volume 3, Number 2, June 2022
- Mohammad Ali Maddah-Ali, Salman Avestimehr, Ravi Tandon, Changho Suh, Ayfer Özgür, Chao Tian, Tara Javidi, Giuseppe Caire:
Guest Editorial. 161 - Farzan Farnia, Amirhossein Reisizadeh, Ramtin Pedarsani, Ali Jadbabaie:
An Optimal Transport Approach to Personalized Federated Learning. 162-171 - Xinghan Wang, Anusha Lalitha, Tara Javidi, Farinaz Koushanfar:
Peer-to-Peer Variational Federated Learning Over Arbitrary Graphs. 172-182 - Rajarshi Saha, Mert Pilanci, Andrea J. Goldsmith:
Efficient Randomized Subspace Embeddings for Distributed Optimization Under a Communication Budget. 183-196 - 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 - Jinho Choi:
Communication-Efficient Distributed SGD Using Random Access for Over-the-Air Computation. 206-216 - Shubham K. Jha, Prathamesh Mayekar, Himanshu Tyagi:
Fundamental Limits of Over-the-Air Optimization: Are Analog Schemes Optimal? 217-228 - Animesh Sakorikar, Lele Wang:
Soft BIBD and Product Gradient Codes. 229-240 - Anindya Bijoy Das, Aditya Ramamoorthy:
A Unified Treatment of Partial Stragglers and Sparse Matrices in Coded Matrix Computation. 241-256 - Jinbao Zhu, Songze Li:
A Systematic Approach Towards Efficient Private Matrix Multiplication. 257-274 - Christoph Hofmeister, Rawad Bitar, Marvin Xhemrishi, Antonia Wachter-Zeh:
Secure Private and Adaptive Matrix Multiplication Beyond the Singleton Bound. 275-285 - Shahrzad Kiani, Stark C. Draper:
Successive Approximation Coding for Distributed Matrix Multiplication. 286-305 - Lev Tauz, Lara Dolecek:
Variable Coded Batch Matrix Multiplication. 306-320 - Yinbin Ma, Daniela Tuninetti:
A General Coded Caching Scheme for Scalar Linear Function Retrieval. 321-336 - Ruida Zhou, Chao Tian, Hua Sun, James S. Plank:
Two-Level Private Information Retrieval. 337-349 - Zhusheng Wang, Sennur Ulukus:
Symmetric Private Information Retrieval at the Private Information Retrieval Rate. 350-361 - Shreya Gupta, Bh. Rekha Devi, V. Lalitha:
On Rack-Aware Cooperative Regenerating Codes and Epsilon-MSCR Codes. 362-378 - Hua Sun:
Compound Secure Groupcast: Key Assignment for Selected Broadcasting. 379-389 - Maiki Fujita, Takeshi Koshiba, Kenji Yasunaga:
Perfectly Secure Message Transmission Against Rational Adversaries. 390-404 - Canran Wang, Netanel Raviv:
Breaking Blockchain's Communication Barrier With Coded Computation. 405-421 - Amir Behrouzi-Far, Emina Soljanin:
Balanced Nonadaptive Redundancy Scheduling. 422-430
Volume 3, Number 3, September 2022
- Paul Hand, Reinhard Heckel, Jonathan Scarlett:
Guest Editorial. 432 - Jonathan Scarlett, Reinhard Heckel, Miguel R. D. Rodrigues, Paul Hand, Yonina C. Eldar:
Theoretical Perspectives on Deep Learning Methods in Inverse Problems. 433-453 - Chen Xu, Xiuyuan Cheng, Yao Xie:
Invertible Neural Networks for Graph Prediction. 454-467 - Shirin Shoushtari, Jiaming Liu, Yuyang Hu, Ulugbek S. Kamilov:
Deep Model-Based Architectures for Inverse Problems Under Mismatched Priors. 468-480 - Jonathan Sauder, Martin Genzel, Peter Jung:
Gradient-Based Learning of Discrete Structured Measurement Operators for Signal Recovery. 481-492 - Alireza Naderi, Yaniv Plan:
Sparsity-Free Compressed Sensing With Applications to Generative Priors. 493-501 - Aaron Berk, Simone Brugiapaglia, Babhru Joshi, Yaniv Plan, Matthew Scott, Özgür Yilmaz:
A Coherence Parameter Characterizing Generative Compressed Sensing With Fourier Measurements. 502-512 - Huan Liu, George Zhang, Jun Chen, Ashish Khisti:
Cross-Domain Lossy Compression as Entropy Constrained Optimal Transport. 513-527 - Saurav K. Shastri, Rizwan Ahmad, Christopher A. Metzler, Philip Schniter:
Denoising Generalized Expectation-Consistent Approximation for MR Image Recovery. 528-542 - 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 - Akash S. Doshi, Manan Gupta, Jeffrey G. Andrews:
Over-the-Air Design of GAN Training for mmWave MIMO Channel Estimation. 557-573 - Karl Chahine, Rajesh K. Mishra, Hyeji Kim:
Inventing Codes for Channels With Active Feedback via Deep Learning. 574-586 - 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
- Meir Feder, Tsachy Weissman:
Editorial Modern Compression. 604 - Daniel Severo, James Townsend, Ashish Khisti, Alireza Makhzani, Karen Ullrich:
Compressing Multisets With Large Alphabets. 605-615 - Kengo Hashimoto, Ken-ichi Iwata:
Optimality of Huffman Code in the Class of 1-Bit Delay Decodable Codes. 616-625 - Maryam Hosseini, Narayana Santhanam:
Tail Redundancy and its Characterization of Compression of Memoryless Sources. 626-638 - Shubham K. Jha:
Universal Gaussian Quantization With Side-Information Using Polar Lattices. 639-650 - Aviv Adler, Jennifer Tang, Yury Polyanskiy:
Efficient Representation of Large-Alphabet Probability Distributions. 651-663 - Jun Chen, Lei Yu, Jia Wang, Wuxian Shi, Yiqun Ge, Wen Tong:
On the Rate-Distortion-Perception Function. 664-673 - Eric Lei, Hamed Hassani, Shirin Saeedi Bidokhti:
Neural Estimation of the Rate-Distortion Function With Applications to Operational Source Coding. 674-686 - Nirmal V. Shende, Aaron B. Wagner:
Functional Covering of Point Processes. 687-698 - Rony Bou Rouphael, Maël Le Treust:
Strategic Successive Refinement With Interdependent Decoders Cost Functions. 699-710 - Shashank Vatedka, Venkat Chandar, Aslan Tchamkerten:
Local Decoding in Distributed Compression. 711-719 - Tze-Yang Tung, David Burth Kurka, Mikolaj Jankowski, Deniz Gündüz:
DeepJSCC-Q: Constellation Constrained Deep Joint Source-Channel Coding. 720-731 - Sourya Basu, Lav R. Varshney:
Universal and Succinct Source Coding of Deep Neural Networks. 732-745 - Payam Delgosha, Venkat Anantharam:
A Universal Low Complexity Compression Algorithm for Sparse Marked Graphs. 746-758 - Travis C. Cuvelier, Takashi Tanaka, Robert W. Heath Jr.:
Time-Invariant Prefix Coding for LQG Control. 759-772 - Osama A. Hanna, Lin F. Yang, Christina Fragouli:
Compression for Multi-Arm Bandits. 773-788 - Francesco Pase, Deniz Gündüz, Michele Zorzi:
Rate-Constrained Remote Contextual Bandits. 789-802 - 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 - Berivan Isik, Tsachy Weissman:
Lossy Compression of Noisy Data for Private and Data-Efficient Learning. 815-823 - Sourya Basu, Daewon Seo, Lav R. Varshney:
Hypergraph-Based Source Codes for Function Computation Under Maximal Distortion. 824-838
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