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cs.LG2026
UnAct: Gradient-Free Unlearning via Targeted Activation Intervention
Saeed Abdul Muizz, Aayat Rafiq, Iqra Altaf Gillani +1
Machine unlearning seeks to remove the influence of designated training data from a trained model without retraining from scratch. Retrain-free methods such as Selective Synaptic D…
cs.LG2025
ATR-Bench: A Federated Learning Benchmark for Adaptation, Trust, and Reasoning
Tajamul Ashraf, Mohammed Mohsen Peerzada, Moloud Abdar +5
Federated Learning (FL) has emerged as a promising paradigm for collaborative model training while preserving data privacy across decentralized participants. As FL adoption grows,…