3 papers
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.AI2026
VoiceAgentBench: Are Voice Assistants ready for agentic tasks?
Dhruv Jain, Harshit Shukla, Gautam Rajeev +3
Large scale Speech Language Models have enabled voice assistants capable of understanding natural spoken queries and performing complex tasks. However, existing speech benchmarks l…
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…