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Utilizing Free Clients in Federated Learning for Focused Model Enhancement
Federated Learning (FL) is a distributed machine learning approach to learn models on decentralized heterogeneous data, without the need for clients to share their data.
Unreliable Multi-Armed Bandits: A Novel Approach to Recommendation Systems
We model the recommendation system as a bandit seeking to maximize reward by pulling on arms with unknown rewards.
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