Federated continual learning as a distributed drift-plus-penalty control problem
Read the original at arxiv.org→arXiv:2608.21539v1 Announce Type: new Abstract: Federated Continual Learning (FCL) is fundamental to real-world distributed learning systems, requiring models to adapt to sequential, non-IID data across clients...
Original headline: "Federated Continual Learning as a Distributed Drift-Plus-Penalty Control Problem"
Coverage timeline
- Aug 25, 04:00 UTC arXiv cs.LG lead source Federated Continual Learning as a Distributed Drift-Plus-Penalty Control Problem