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ORCID60th Allerton Conference 2024: Urbana, IL, USA
- 60th Annual Allerton Conference on Communication, Control, and Computing, Urbana, IL, USA, September 24-27, 2024. IEEE 2024, ISBN 979-8-3315-4103-3
- Xuanzhou Chen, Austin Xu, Jingyan Wang, Ashwin Pananjady:
Learning the Eye of the Beholder: Statistical Modeling and Estimation for Personalized Color Perception. 1-8 - Andrew Cheng, Melanie Weber:
Structured Regularization for SPD Optimization with Side Information. 1-8 - Sushobhan Chatterjee, Sijia Geng
:
Sensitivity to Hopf Bifurcation in Grid-Following Inverters Using Normal Vector Methods. 1-8 - Liad Lea Didi, Tomer Gafni, Kobi Cohen:
Active Change Point Anomaly Detection Over Composite Hypotheses. 1-6 - Samar Agnihotri, Renu M. Rameshan, Ritwik Ghosal, Prerit Gupta:
Lossless Binary Image Compression Using Learned Multi-Level Dictionaries. 1-8 - Abhinav Kumar, Swastik Brahma, Baocheng Geng, Charles A. Kamhoua, Pramod K. Varshney:
A Hypothesis Testing-based Framework for Cyber Deception with Sludging. 1-8 - Ahmad Bennakhi, Gregory T. Byrd, Paul Franzon:
Solving the B-SAT Problem Using Quantum Computing: Smaller is Sometimes Better. 1-8 - Braden C. Soper, Caleb J. Miller, Dan M. Merl:
Linearly Solvable General-Sum Markov Games. 1-8 - Sina Arefizadeh, Angelia Nedic:
Non-Monotone Variational Inequalities. 1-7 - Vivek Khatana, Chin-Yao Chang, Wenbo Wang:
Adaptive Online Model Update Algorithm for Predictive Control in Networked Systems. 1-8 - Bahram Yaghooti, Netanel Raviv, Bruno Sinopoli:
Beyond PCA: A Gram-Schmidt Approach to Feature Extraction. 1-8 - Haobo Chen, Gholamali Aminian, Yuheng Bu:
An Algorithm for Computing the Capacity of Symmetrized KL Information for Discrete Channels. 1-8 - Omar Boufous, Rachid El Azouzi, Mikaël Touati, Eitan Altman, Mustapha Bouhtou:
Constrained Correlated Equilibria. 1-8 - Ran Greidi, Kobi Cohen:
Communication-Efficient Federated Learning via Sparse Training with Regularized Error Correction. 1-7 - Bernard C. Lesieutre, Yiwen Gu, Patrick Panciatici:
Exploring Feasible Transition from Local to Global Optima in Power Systems. 1-8 - Qin Liu, Wenjie Mo, Terry Tong, Jiashu Xu, Fei Wang, Chaowei Xiao, Muhao Chen:
Mitigating Backdoor Threats to Large Language Models: Advancement and Challenges. 1-8 - Alexis M. H. Teter, Wenqing Wang, Abhishek Halder:
Weyl Calculus and Exactly Solvable Schrödinger Bridges with Quadratic State Cost. 1-8 - Amanda Merkley, Pulkit Grover:
Understanding Neural Population Communication with Latent Channels. 1-8 - Andrés Ferragut, Matías Carrasco, Fernando Paganini:
Caching or Pre-fetching? the Role of Hazard Rates. 1-8 - Iyanuoluwa Emiola, Chinwendu Enyioha:
Distributed Quantized Algorithms in Adversarial Networks. 1-8 - Sajjad Ghiasvand, Amirhossein Reisizadeh, Mahnoosh Alizadeh, Ramtin Pedarsani:
Communication-efficient and Decentralized Federated Minimax Optimization. 1-7 - Omkar Mujumdar, J. Nicholas Laneman:
Capacity of a Complex-Valued Gaussian Channel with Frequency Offset. 1-8 - Alireza Sharbafchi, Behrouz Touri, Soheil Mohajer:
Influence Chain Recovery and Application in Distributed Fact-Checking. 1-8 - Keshav Patel Keval, Vivek Shripad Borkar, Ananya Singhal:
Minkowski Descent: An Algorithm for Stochastic Global Optimization. 1-8 - Yuanji Zou, Nicola Elia:
A Synthesis Approach for Distributed H2 Control Problems with Communication Delays. 1-8 - Tong Wu, Anna Scaglione, Daniel B. Arnold, Tianyi Chen:
Transferable Learning of GCN Sampling Graph Data Clusters from Different Power Systems. 1-7 - Tamir L. S. Gez, Kobi Cohen:
A Masked Pruning-Based Algorithm for Dimensionality Reduction in Federated Learning Systems. 1-6 - Gokcan Tatli, Ramya Korlakai Vinayak:
Metric Clustering From Triplet Comparisons. 1-8 - Xiangxiang Xu, Lizhong Zheng:
Dependence Induced Representations. 1-8 - Anju Anand, Emrah Akyol:
Strategic Quantization with Quadratic Distortion Measures. 1-6 - Mert Gökduman, Hanwen Yao, Henry D. Pfister:
Erasure Decoding for Quantum LDPC Codes via Belief Propagation with Guided Decimation. 1-8 - Omri Lev, Matthew Ho, Ligong Wang, Gregory W. Wornell:
On the Capacity of Scalar Gaussian Channels Subject to State Obfuscation. 1-5 - Amirhosein Morteza, Remi A. Chou:
Distributed Matrix Multiplication: Download Rate, Randomness and Privacy Trade-Offs. 1-7 - Ayelet C. Portnoy, Alejandro Cohen:
Non-Adaptive Multi-Stage Algorithm for Group Testing with Prior Statistics. 1-8 - Sina Eghbal, Badri N. Vellambi, Lawrence Ong, Parastoo Sadeghi:
Restricted Converse Results for $g$-Group Complete-$\{s\}$ Pliable Index Coding Problems. 1-8 - Nicholas Sacco, Viveck R. Cadambe, Bobak Nazer:
The Power Method with Row Erasures. 1-8 - Eduardo Camps-Moreno, Hiram H. López, Gretchen L. Matthews, Diego Ruano, Rodrigo San-José, Ivan Soprunov:
Binary Triorthogonal and CSS-T Codes for Quantum Error Correction. 1-6 - Yuval Ben-Hur, Saar Stern, Yoav Cohen, Yuval Cassuto:
Graph Codes for Dual-Parameter Barrier Channels. 1-8 - Yingyao Zhou, Natasha Devroye, György Turán, Milos Zefran:
Higher-order Interpretations of Deepcode, a Learned Feedback Code. 1-8 - Yifan Sun:
On the Scalability of Large Graph Methods for Kernel-Based Machine Learning. 1-8 - Vivek Khatana, Murti V. Salapaka:
Distributed Difference of Convex Optimization. 1-8 - Dongmin Lee, Anuran Makur:
Contraction Coefficients of Product Symmetric Channels. 1-8 - Yue Shen, Hussein Sibai, Enrique Mallada:
Generalized Barrier Functions: Integral Conditions & Recurrent Relaxations. 1-8 - Duncan Koepke, Michaela Schnell, Madelyn St. Pierre, Allison Beemer:
Authenticated Partial Correction Over AV-MACs: Toward Characterization and Coding. 1-8 - HyeAnn Lee, Donghwan Lee:
Suppressing Overestimation in Q-Learning Through Adversarial Behaviors. 1-7 - Elissa Mhanna, Mohamad Assaad:
Rendering Wireless Environments Useful for Gradient Estimators: A Zero-Order Stochastic Federated Learning Method. 1-8 - Siva Aditya Gooty, Hessam Mahdavifar:
Strategies for Rate Optimization in Joint Communication and Sensing over Channels with Memory. 1-6 - Fatemeh Kazemi, Ningze Wang, Alex Sprintson, Rafael G. L. D'Oliveira:
A New Framework for Designing Polynomial Codes for Private Information Retrieval. 1-6 - Li Zhang, Sanjiv Kapoor:
Fairness of Equilibrium in Proportional Sharing Mechanisms with Bid Costs. 1-8 - Michael J. Neely:
Opportunistic Learning for Markov Decision Systems with Application to Smart Robots. 1-8 - Vikrant Malik, Taylan Kargin, Joudi Hajar, Babak Hassibi:
Optimal Infinite-Horizon Mixed H2/ H∞ Control. 1-8 - Scott Sirri:
Closing the Duality Gap on Integer Linear Programming. 1-8 - Michele Pacenti, Bane Vasic:
Quantum Margulis Codes. 1-5 - Adrian Edin, Zheng Chen, Michel Kieffer, Mikael Johansson:
Temporal Predictive Coding for Gradient Compression in Distributed Learning. 1-8 - Jeremy Petithomme, Corinne Touati, Christophe Bravard:
Price of Censorship of a Policy Removing Misinformation in a Social Network. 1-8 - Hannah Moring, Xavier Farrell, Johanna L. Mathieu:
Fair-Over-Time Distributed Energy Resource Coordination. 1-8 - Mohammad A. Zarrabian, Parastoo Sadeghi:
Privacy-Utility Tradeoff Based on α-lift. 1-6 - Derya Malak, Mohammad Reza Deylam Salehi, Berksan Serbetci, Petros Elia:
Multi-Functional Distributed Computing. 1-8 - Alexander Mariona, Ken R. Duffy, Muriel Médard:
Finite-Length Coding Bounds via Guesswork. 1-8 - Cheng Mao, Shenduo Zhang:
Impossibility of Latent Inner Product Recovery via Rate Distortion. 1-8 - Quang Minh Nguyen, Eytan H. Modiano:
Linear-Time Scheduling for Time-Varying Wireless Networks via Randomization. 1-8 - Austin Cooper, Sean P. Meyn:
Quickest Change Detection Using Mismatched CUSUM Extended Abstract. 1-7 - Tong Yao, Shreyas Sundaram:
Classification with a Network of Partially Informative Agents: Enabling Wise Crowds from Individually Myopic Classifiers. 1-8 - Ayse Ünsal, Melek Önen:
Chernoff Information as a Privacy Constraint for Adversarial Classification. 1-8 - H. S. Melihcan Erol, Jiejun Jin, Lizhong Zheng:
An Information Geometric Analysis of Noise Contrastive Estimation. 1-8 - Amirhossein Shekofteh, Rémi A. Chou:
SPIR with Colluding and Non-Replicated Servers from a Noisy Channel. 1-6 - Jiaqi Wang, Ziv Goldfeld:
Differentially Private Sinkhorn Algorithm. 1-8 - Yiming Zhang, Dongning Guo:
Traffic-driven Spectrum and Power Allocation via Scalable Multi-Agent Reinforcement Learning. 1-8 - Siying Li, Timothy D. Mount, Lang Tong:
Decentralized Equitable Energy Access in Energy Communities. 1-4 - Arunabh Srivastava, Sennur Ulukus:
Mobility in Age-Based Gossip Networks. 1-8 - Vikram Krishnamurthy, Cristian R. Rojas:
Slow Convergence of Interacting Kalman Filters in Word-of-Mouth Social Learning. 1-6
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