# kaal:claim:4941807-013

**Claim.** The rigid communication topology of federated learning, which requires constant coordination among numerous nodes, produces inefficiencies and does not adapt easily to dynamic network conditions or node failures.

**Type.** failure  **Support.** argued

**Holds when.**

- in federated learning architectures requiring constant node coordination
- under fluctuating network conditions or node failure

**Source quote.**

> Moreover, the rigid communication topology in FL, which typically requires constant coordination between numerous nodes, can lead to inefficiencies and does not easily adapt to dynamic network conditions or node failures.

**From.** Wulf A. Kaal, *AI Governance Via Web3 Reputation System* (2024), Federated Model, page 12

**Cite as.** Wulf A. Kaal, AI Governance Via Web3 Reputation System (2024). SSRN: https://ssrn.com/abstract=4941807

**Verify.** sha256 of source PDF `ab66c1e99a88da1fa36b0c6b536df5184231fe6aa427f3dd53287a4e0ac79853` at https://raw.githubusercontent.com/wulfkaal/Academic-Papers/main/papers/pdf/Kaal%20-%202024%20-%20AI%20Governance%20Via%20Web3%20Reputation%20System.pdf

**Failure mode.** rigid coordination topology  (family: scalability-and-throughput-limit)

**Topics.** decentralization, ai-and-agents

**Keywords.** federated-learning, scalability, network-topology, node-failure, decentralized-ai

**Canonical form.** This markdown file is the canonical hashed representation of the claim. Its sha256 is the content hash used for attestation.