On the Power of Source Screening for Learning Shared Feature Extractors
Leo Muxing Wang, Connor Mclaughlin, Lili Su
cs.LG
Submitted: 2026-08-19
Updated: 2026-08-20
Terminology
Sources
- Multi-Task Learning with Deep Neural Networks: A Survey
- An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
- On the Opportunities and Risks of Foundation Models
- LEAF: A Benchmark for Federated Settings
- Optimal Client Sampling for Federated Learning
- Client Selection in Federated Learning: Convergence Analysis and Power-of-Choice Selection Strategies
- SCAFFOLD: Stochastic Controlled Averaging for Federated Learning
- Progressive Neural Networks
- On the Convergence of FedAvg on Non-IID Data
- Learning with Shared Representations: Statistical Rates and Efficient Algorithms
- Achieving Linear Speedup with Partial Worker Participation in Non-IID Federated Learning
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