To cope with these challenges, distributed systems need to reach consensus, or agreement, on the state of the system or the outcome of an operation. Consensus algorithms and protocols are the core ...

Distributed machine learning and data ... Tuning or optimizing gossip protocols with learning algorithms, such as reinforcement learning or meta-learning, can adjust the network parameters or ...

Consensus protocol involves the application of reputable concepts like Distributed Computing (P2P Networks), Cryptography and consensus algorithms. Traditional motivation for application of Consensus ...

EPFL researchers have developed a new distributed algorithm that, for the first time, solves one of the key performance and reliability problems affecting most of the currently-deployed consensus ...

fail-arbitrary algorithms, where processes can deviate arbitrarily from the protocol specification and act in malicious, adversarial ways; and randomized algorithms, where in addition to the classes ...

Airtight distributed protocols are needed to ensure that software systems can effectively run on machines spread across the world. These protocols are extremely complex algorithms that define how ...

As such, the cluster-membership package intends to focus not on a single implementation, but serve as a collaboration space for various distributed algorithms in this space. For a more in-depth ...