Communication complexity quantifies the amount of information exchanged between parties to compute a function. This theoretical concept measures the minimum number of bits required for distributed computational tasks, assuming unlimited local computation. In blockchain and distributed systems, it assesses the efficiency of protocols where nodes must coordinate and share data. Lower communication complexity indicates greater scalability and reduced network overhead.
Context
Within blockchain technology, communication complexity is a vital factor in designing scalable and efficient decentralized protocols. Researchers actively seek methods to minimize data exchange between nodes without compromising security or consensus accuracy. This is particularly relevant for layer-2 solutions and sharding architectures aiming to process more transactions. Future advancements in zero-knowledge proofs and other cryptographic techniques hold promise for reducing this computational burden.
A novel Byzantine Reliable Broadcast protocol minimizes communication overhead to an optimal 3/2 factor, unlocking a new frontier for scalable, bandwidth-efficient consensus.
New theoretical bounds and a sub-quadratic protocol fundamentally redefine the communication cost for Byzantine broadcast in dishonest-majority networks.
The Hamster protocol uses coding techniques to reduce Byzantine Fault Tolerance communication to near-optimal O(mn), unlocking linear throughput scaling.
Introducing the Graded Common Subset, this breakthrough mechanism achieves linear communication complexity, unlocking highly scalable, fully asynchronous Byzantine consensus for global decentralized systems.
Foundational BFT protocols are simplified through Graded Dispersal, a new primitive that cuts communication complexity by 40% and reduces consensus rounds.
A new sharding consensus pattern achieves provable cross-shard atomicity and optimal intra-shard communication overhead using a jointly managed buffer.
FDKG introduces optional participation and heterogeneous trust to DKG, resolving the impracticality of key generation in large, dynamic validator sets.
This research establishes fundamental communication lower bounds for randomized Byzantine broadcast in dishonest-majority networks, framing the ultimate scalability limits.
A jointly managed buffer and batch certification enable atomic cross-shard transactions with optimal overhead, creating a universal BFT sharding framework.
This new signature-free asynchronous Byzantine agreement protocol achieves the theoretical optimal communication complexity for unauthenticated consensus.
A novel committee-based protocol reduces asynchronous Byzantine agreement communication from cubic to quadratic, enabling practical fault-tolerant state machine replication.
A new trilemma proves that efficient, adaptively secure consensus requires a logarithmic lower bound on public randomness consumption, fundamentally limiting design space.
New protocols for Asynchronous Verifiable Secret Sharing (AVSS) leverage lightweight primitives to achieve optimal resilience and amortized linear communication, fundamentally accelerating BFT consensus.
A novel succinct oblivious tensor evaluation primitive, secured by Learning With Errors, enables adaptively-secure laconic function evaluation and optimal trapdoor hashing, advancing private verifiable computation.
New protocols drastically reduce communication overhead in secure multi-party computation with selective aborts, enhancing practicality for decentralized applications.
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