The Capacity of Causal Adversarial Channels
Author:
Affiliation:
1. Institute of Science and Technology,Austria
2. University of Bristol
3. University at Buffalo
4. Rutgers University
Funder
National Science Foundation
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9834325/9834269/09834709.pdf?arnumber=9834709
Reference17 articles.
1. The Capacity of Online (Causal) $q$ -Ary Error-Erasure Channels
2. Upper Bounds on the Capacity of Binary Channels With Causal Adversaries
3. Quadratically Constrained Channels with Causal Adversaries
4. On the capacity of memoryless adversary
5. Stochastic-Adversarial Channels: Online Adversaries With Feedback Snooping
Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Computationally Efficient Codes for Adversarial Binary-Erasure Channels;2023 IEEE International Symposium on Information Theory (ISIT);2023-06-25
2. The Capacity of Channels with O(1)-Bit Feedback;2023 IEEE International Symposium on Information Theory (ISIT);2023-06-25
3. The Capacity of Causal Adversarial Channels;2022 IEEE International Symposium on Information Theory (ISIT);2022-06-26
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