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We introduce Unity, a new consensus algorithm for public blockchain settings. Unity is an eventual consistency protocol merging the Proof-of-Work (PoW) and Proof-of-Stake (PoS) into a coherent stochastic process. It encompasses hardware and…

Cryptography and Security · Computer Science 2019-06-10 Yulong Wu , Yunfei Zha , Yao Sun

Blockchain stores information into a chain of "blocks", whose integrity is usually guaranteed by Proof of Work (PoW). In many blockchain applications (including cryptocurrencies), users compete with each other to win the ownership of the…

Cryptography and Security · Computer Science 2018-10-09 Wei Li

As an emerging decentralized secure data management platform, blockchain has gained much popularity recently. To maintain a canonical state of blockchain data record, proof-of-work based consensus protocols provide the nodes, referred to as…

Computer Science and Game Theory · Computer Science 2020-03-30 Yutao Jiao , Ping Wang , Dusit Niyato , Kongrath Suankaewmanee

Federated learning can solve the privacy protection problem in distributed data mining and machine learning, and how to protect the ownership, use and income rights of all parties involved in federated learning is an important issue. This…

Cryptography and Security · Computer Science 2025-07-11 Xiaogang Cheng , Ren Guo

PAI Coin's Proof-of-Work (PoW) consensus mechanism utilizes the double SHA-256 hashing protocol-- the same mechanism used by Bitcoin Core. This compatibility with classic Bitcoin-style mining provides low barrier to entry for PAI Coin…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-02-22 Mark Harvilla , Jincheng Du

The synergy between Federated Learning and blockchain has been considered promising; however, the computationally intensive nature of contribution measurement conflicts with the strict computation and storage limits of blockchain systems.…

Cryptography and Security · Computer Science 2026-03-31 Leon Witt , Kentaroh Toyoda , Wojciech Samek , Dan Li

Blockchain-based federated learning (BCFL) has recently gained tremendous attention because of its advantages such as decentralization and privacy protection of raw data. However, there has been few research focusing on the allocation of…

Cryptography and Security · Computer Science 2022-02-23 Zhilin Wang , Qin Hu , Ruinian Li , Minghui Xu , Zehui Xiong

Current blockchain consensus protocols -- notably, Proof of Work (PoW) and Proof of Stake (PoS) -- deliver global agreement but exhibit structural constraints. PoW anchors security in heavy computation, inflating energy use and imposing…

Cryptography and Security · Computer Science 2025-12-11 Kyle Habib , Vladislav Kapitsyn , Giovanni Mazzeo , Faisal Mehrban

We discuss future directions of Blockchain as a collaborative value co-creation platform, in which network participants can gain extra insights that cannot be accessed when disconnected from the others. As such, we propose a decentralized…

Machine Learning · Computer Science 2022-08-25 Tsuyoshi Idé , Rudy Raymond

Proof-of-stake blockchain protocols have emerged as a compelling paradigm for organizing distributed ledger systems. In proof-of-stake (PoS), a subset of stakeholders participate in validating a growing ledger of transactions. For the…

Computer Science and Game Theory · Computer Science 2024-07-12 Aggelos Kiayias , Elias Koutsoupias , Francisco Marmolejo-Cossio , Aikaterini-Panagiota Stouka

Although proof of work (PoW) consensus dominates the current blockchain-based systems mostly, it has always been criticized for the uneconomic brute-force calculation. As alternatives, energy-conservation and energy-recycling mechanisms…

Cryptography and Security · Computer Science 2022-11-03 Shengling Wang , Lina Shi , Hongwei Shi , Yifang Zhang , Qin Hu , Xiuzhen Cheng

One decade ago, Bitcoin was introduced, becoming the first cryptocurrency and establishing the concept of "blockchain" as a distributed ledger. As of today, there are many different implementations of cryptocurrencies working over a…

Neural and Evolutionary Computing · Computer Science 2019-07-26 Alejandro Baldominos , Yago Saez

Training machine learning (ML) models typically involves expensive iterative optimization. Once the model's final parameters are released, there is currently no mechanism for the entity which trained the model to prove that these parameters…

Federated learning utilizes various resources provided by participants to collaboratively train a global model, which potentially address the data privacy issue of machine learning. In such promising paradigm, the performance will be…

Machine Learning · Computer Science 2021-06-30 Rongfei Zeng , Chao Zeng , Xingwei Wang , Bo Li , Xiaowen Chu

With the increasing adoption of decentralized information systems based on a variety of permissionless blockchain networks, the choice of consensus mechanism is at the core of many controversial discussions. Ethereum's recent transition…

Cryptography and Security · Computer Science 2024-02-01 Iván Abellán Álvarez , Vincent Gramlich , Johannes Sedlmeir

With the increasing importance of data sharing for collaboration and innovation, it is becoming more important to ensure that data is managed and shared in a secure and trustworthy manner. Data governance is a common approach to managing…

Machine Learning · Computer Science 2025-10-29 Amir Jaberzadeh , Ajay Kumar Shrestha , Faijan Ahamad Khan , Mohammed Afaan Shaikh , Bhargav Dave , Jason Geng

Proof-of-Work (PoW) is a fundamental underlying technology behind most major blockchain cryptocurrencies. It has been previously pointed out that quantum devices provide a computational advantage in performing PoW in the context of Bitcoin.…

Quantum Physics · Physics 2021-05-06 Dan A. Bard , Joseph J. Kearney , Carlos A. Perez-Delgado

Proof of Work (PoW) has extensively served as the foundation of blockchain's security, consistency, and tamper-resistance. However, long has it been criticized for its tremendous and inefficient utilization of computational power and…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-03-04 Weihang Cao , Xintong Ling , Jiaheng Wang , Xiqi Gao , Zhi Ding

Federated Learning (FL) is a well-known paradigm of distributed machine learning on mobile and IoT devices, which preserves data privacy and optimizes communication efficiency. To avoid the single point of failure problem in FL,…

Cryptography and Security · Computer Science 2024-03-13 Xiaoxue Zhang , Yifan Hua , Chen Qian

Collaborations among various entities, such as companies, research labs, AI agents, and edge devices, have become increasingly crucial for achieving machine learning tasks that cannot be accomplished by a single entity alone. This is likely…

Machine Learning · Computer Science 2023-05-29 Xinran Wang , Qi Le , Ahmad Faraz Khan , Jie Ding , Ali Anwar
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