3 papers
cs.LG2026
FlashbackCL: Mitigating Temporal Forgetting in Federated Learning
Mubarak A. Ojewale, Adriana E. Chis, Jorge M. Cortes-Mendoza +2
Federated Learning (FL) of foundation and edge models increasingly targets deployments where client data distributions drift over time, yet existing forgetting-mitigation methods a…
cs.PF2026
NetKV: Network-Aware Decode Instance Selection for Disaggregated LLM Inference
Mubarak Adetunji Ojewale
Disaggregated LLM inference forces the KV cache to traverse the datacenter network before decoding begins, so transfer time enters directly into the Time to First Token (TTFT) budg…
cs.LG2024
Towards a Flexible and High-Fidelity Approach to Distributed DNN Training Emulation
Banruo Liu, Mubarak Adetunji Ojewale, Yuhan Ding +1
We propose NeuronaBox, a flexible, user-friendly, and high-fidelity approach to emulate DNN training workloads. We argue that to accurately observe performance, it is possible to e…