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cs.LG2026
PMF-CL: Pareto-Minimal-Forgetting Continual Learner for Conflicting Tasks
Srijith Nair, Atilla Eryilmaz, Jia Liu
In the literature, many continual learning (CL) algorithms have been proposed to address the issue of catastrophic forgetting in ML models (i.e., learning new tasks leads to the lo…
cs.LG2025
FSL-SAGE: Accelerating Federated Split Learning via Smashed Activation Gradient Estimation
Srijith Nair, Michael Lin, Peizhong Ju +3
Collaborative training methods like Federated Learning (FL) and Split Learning (SL) enable distributed machine learning without sharing raw data. However, FL assumes clients can tr…