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07/31/2023
SAKSHI: Decentralized AI Platforms
Large AI models (e.g., Dall-E, GPT4) have electrified the scientific, te...
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05/16/2023
Raft-Forensics: High Performance CFT Consensus with Accountability for Byzantine Faults
Crash fault tolerant (CFT) consensus algorithms are commonly used in sce...
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02/20/2023
Compressed Error HARQ: Feedback Communication on Noise-Asymmetric Channels
In modern communication systems with feedback, there are increasingly mo...
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01/16/2023
Machine Learning-Aided Efficient Decoding of Reed-Muller Subcodes
Reed-Muller (RM) codes achieve the capacity of general binary-input memo...
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10/20/2022
TrustBoost: Boosting Trust among Interoperable Blockchains
Currently there exist many blockchains with weak trust guarantees, limit...
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10/20/2022
Proof of Backhaul: Trustfree Measurement of Broadband Bandwidth
Recent years have seen the emergence of decentralized wireless networks ...
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10/01/2022
CRISP: Curriculum based Sequential Neural Decoders for Polar Code Family
Polar codes are widely used state-of-the-art codes for reliable communic...
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09/30/2022
TinyTurbo: Efficient Turbo Decoders on Edge
In this paper, we introduce a neural-augmented decoder for Turbo codes c...
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08/22/2022
Optimal Bootstrapping of PoW Blockchains
Proof of Work (PoW) blockchains are susceptible to adversarial majority ...
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01/27/2022
Minotaur: Multi-Resource Blockchain Consensus
Resource-based consensus is the backbone of permissionless distributed l...
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08/29/2021
KO codes: Inventing Nonlinear Encoding and Decoding for Reliable Wireless Communication via Deep-learning
Landmark codes underpin reliable physical layer communication, e.g., Ree...
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05/06/2021
Securing Parallel-chain Protocols under Variable Mining Power
Several emerging PoW blockchain protocols rely on a "parallel-chain" arc...
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02/02/2021
Reed-Muller Subcodes: Machine Learning-Aided Design of Efficient Soft Recursive Decoding
Reed-Muller (RM) codes are conjectured to achieve the capacity of any bi...
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10/30/2020
ACeD: Scalable Data Availability Oracle
A popular method in practice offloads computation and storage in blockch...
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10/26/2020
The Checkpointed Longest Chain: User-dependent Adaptivity and Finality
Longest-chain protocols such as the one invented by Nakamoto for Bitcoin...
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10/14/2020
BFT Protocol Forensics
Byzantine fault-tolerant (BFT) protocols allow a group of replicas to co...
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10/02/2020
Enriching Word Embeddings with Temporal and Spatial Information
The meaning of a word is closely linked to sociocultural factors that ca...
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08/18/2020
Deepcode and Modulo-SK are Designed for Different Settings
We respond to [1] which claimed that "Modulo-SK scheme outperforms Deepc...
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05/21/2020
Everything is a Race and Nakamoto Always Wins
Nakamoto invented the longest chain protocol, and claimed its security b...
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05/19/2020
Free2Shard: Adaptive-adversary-resistant sharding via Dynamic Self Allocation
Propelled by the growth of large-scale blockchain deployments, much rece...
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04/19/2020
Prism Removes Consensus Bottleneck for Smart Contracts
The performance of existing permissionless smart contract platforms such...
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11/08/2019
Turbo Autoencoder: Deep learning based channel codes for point-to-point communication channels
Designing codes that combat the noise in a communication medium has rema...
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10/05/2019
Proof-of-Stake Longest Chain Protocols Revisited
The Nakamoto longest chain protocol has served Bitcoin well in its decad...
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10/02/2019
Coded Merkle Tree: Solving Data Availability Attacks in Blockchains
In this paper, we propose coded Merkle tree (CMT), a novel hash accumula...
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09/25/2019
Prism: Scaling Bitcoin by 10,000x
Bitcoin is the first fully decentralized permissionless blockchain proto...
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09/18/2019
Barracuda: The Power of â„“-polling in Proof-of-Stake Blockchains
A blockchain is a database of sequential events that is maintained by a ...
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06/26/2019
Coded State Machine -- Scaling State Machine Execution under Byzantine Faults
We introduce an information-theoretic framework, named Coded State Machi...
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06/06/2019
Learning in Gated Neural Networks
Gating is a key feature in modern neural networks including LSTMs, GRUs ...
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03/06/2019
DeepTurbo: Deep Turbo Decoder
Present-day communication systems routinely use codes that approach the ...
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01/23/2019
Context-Sensitive Malicious Spelling Error Correction
Misspelled words of the malicious kind work by changing specific keyword...
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11/30/2018
LEARN Codes: Inventing Low-latency Codes via Recurrent Neural Networks
Designing channel codes under low latency constraints is one of the most...
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10/26/2018
Estimators for Multivariate Information Measures in General Probability Spaces
Information theoretic quantities play an important role in various setti...
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10/18/2018
Deconstructing the Blockchain to Approach Physical Limits
Transaction throughput, confirmation latency and confirmation reliabilit...
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10/09/2018
Learning One-hidden-layer Neural Networks under General Input Distributions
Significant advances have been made recently on training neural networks...
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09/27/2018
PolyShard: Coded Sharding Achieves Linearly Scaling Efficiency and Security Simultaneously
Today's blockchains do not scale in a meaningful sense. As more nodes jo...
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09/20/2018
Compounding of Wealth in Proof-of-Stake Cryptocurrencies
Proof-of-stake (PoS) is a promising approach for designing efficient blo...
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09/13/2018
Routing Cryptocurrency with the Spider Network
With the growing usage of Bitcoin and other cryptocurrencies, many scala...
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07/02/2018
Deepcode: Feedback Codes via Deep Learning
The design of codes for communicating reliably over a statistically well...
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05/28/2018
Dandelion++: Lightweight Cryptocurrency Networking with Formal Anonymity Guarantees
Recent work has demonstrated significant anonymity vulnerabilities in Bi...
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05/23/2018
Embedding Syntax and Semantics of Prepositions via Tensor Decomposition
Prepositions are among the most frequent words in English and play compl...
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05/23/2018
Communication Algorithms via Deep Learning
Coding theory is a central discipline underpinning wireline and wireless...
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02/21/2018
Globally Consistent Algorithms for Mixture of Experts
Mixture-of-Experts (MoE) is a widely popular neural network architecture...
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02/14/2018
Graph2Seq: Scalable Learning Dynamics for Graphs
Neural networks have been shown to be an effective tool for learning alg...
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09/12/2017
Discovering Potential Correlations via Hypercontractivity
Discovering a correlation from one variable to another variable is of fu...
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04/18/2017
Representing Sentences as Low-Rank Subspaces
Sentences are important semantic units of natural language. A generic, d...
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02/07/2017
MORSE: Semantic-ally Drive-n MORpheme SEgment-er
We present in this paper a novel framework for morpheme segmentation whi...
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02/07/2017
Fixing the Infix: Unsupervised Discovery of Root-and-Pattern Morphology
We present an unsupervised and language-agnostic method for learning roo...
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02/05/2017
Prepositions in Context
Prepositions are highly polysemous, and their variegated senses encode s...
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02/05/2017
All-but-the-Top: Simple and Effective Postprocessing for Word Representations
Real-valued word representations have transformed NLP applications, popu...
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11/29/2016
