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cs.LG2026
FedRAW: Preserving Rare-Label Influence in Asynchronous Federated Learning
Prashant Bajpai, Divya Saxena, Philippe Lalanda +1
Asynchronous federated learning improves scalability by updating the global model from a server-side buffer of client updates as they arrive, rather than waiting for all selected c…
cs.LG2026
GPrune-LLM: Generalization-Aware Structured Pruning for Large Language Models
Xiaoyun Liu, Divya Saxena, Jiannong Cao +3
Structured pruning is widely applied to compress large language models (LLMs), but its performance depends heavily on how neuron importance is estimated. Most existing methods rely…