---
title: Federated Incremental Learning Algorithm
url: https://www.ml-quant.com/papers/ssrn/4683585/
site: ML-Quant (https://www.ml-quant.com)
updated: 2026-09-26
license: Summaries CC BY 4.0; links go to the original sources
index: https://www.ml-quant.com/llms.txt
identifier: SSRN 4683585
source_url: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4683585
featured: 2024-01-09
citations: unknown
topic: ML & AI Methods
---


# Federated Incremental Learning Algorithm

The paper introduces a new learning algorithm that uses Topological Data Analysis to prevent local models from forgetting previous knowledge and improve server feature capture.

- Source: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4683585
- Identifier: SSRN 4683585
- Released: 2024-01-04
- First featured: Quant Letter No. 32 (2024-01-09): https://www.ml-quant.com/issues/2024-01-09/
- Citations (Semantic Scholar): not tracked
- Published in: not yet
- Topic: ML & AI Methods

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