ML-QuantSubscribe

SSRNML & AI Methods

Byzantine-Robust Federated Learning with Clustering Model Updates

The paper presents FedCmp, a method to protect federated learning from Byzantine attacks by detecting malicious updates using a multiround voting system.

Featured in No. 46 on 24 Apr 2024 · 4 days after release

Released
20 Apr 2024
First featured
No. 46 · 24 Apr 2024
Published in
Not yet, as far as Semantic Scholar knows
Shares when featured
3
Identifier
SSRN 4801966

Citations and venue from Semantic Scholar (ODC-BY), refreshed weekly. Summary: Quant Letter (CC BY 4.0).

    Type to search. Try rough volatility, LLM agents or FinGPT.

    ↑↓ move↵ openesc closeFull search page