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Zengzhe Chen

2 accepted papers

2026

Forgetting Whenever You Want: A Decentralized Continual Learning Framework with On-Demand Unlearning

ICML 2026poster

Decentralized class continual learning refers to a paradigm where distributed clients continuously acquire new classes while retaining previously learned information without relying on a central server. With increasing emphasis on privacy preservation, there is a growing need for on-demand unlearnin…

Cited by 0SourceScholar
2025

PDUDT: Provable Decentralized Unlearning under Dynamic Topologies

ICML 2025poster

This paper investigates decentralized unlearning, aiming to eliminate the impact of a specific client on the whole decentralized system. However, decentralized communication characterizations pose new challenges for effective unlearning: the indirect connections make it difficult to trace the specif…

Cited by 0SourcePDFScholar