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Found 6 papers, 2 papers with code
Exploring Continual Fine-Tuning for Enhancing Language Ability in Large Language Model
A common challenge towards the adaptability of Large Language Models (LLMs) is their ability to learn new languages over time without hampering the model's performance on languages in which the model is already proficient (usually English).
Designing Redistribution Mechanisms for Reducing Transaction Fees in Blockchains
As these blockchains are a public resource, it may be preferable to reduce these transaction fees.
Combinatorial Civic Crowdfunding with Budgeted Agents: Welfare Optimality at Equilibrium and Optimal Deviation
Further, funding the optimal social welfare subset of projects is desirable when every available project cannot be funded due to budget restrictions.
Differentially Private Federated Combinatorial Bandits with Constraints
There is a rapid increase in the cooperative learning paradigm in online learning settings, i. e., federated learning (FL).
F3: Fair and Federated Face Attribute Classification with Heterogeneous Data
F3 adopts multiple heuristics to improve fairness across different demographic groups without requiring data homogeneity assumption.
Federated Learning Meets Fairness and Differential Privacy
Deep learning's unprecedented success raises several ethical concerns ranging from biased predictions to data privacy.
