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cs.LG2026
CA-AFP: Cluster-Aware Adaptive Federated Pruning
Om Govind Jha, Harsh Shukla, Haroon R. Lone
Federated Learning (FL) faces major challenges in real-world deployments due to statistical heterogeneity across clients and system heterogeneity arising from resource-constrained…
cs.LG2025
Momentum Boosted Episodic Memory for Improving Learning in Long-Tailed RL Environments
Dolton Fernandes, Pramod Kaushik, Harsh Shukla +1
Traditional Reinforcement Learning (RL) algorithms assume the distribution of the data to be uniform or mostly uniform. However, this is not the case with most real-world applicati…