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ISFL: Federated Learning for Non-i.i.d. Data with Local Importance Sampling

IEEE Internet of Things Journal (IEEE IoT J.), 2022

5 October 2022

Papers citing "ISFL: Federated Learning for Non-i.i.d. Data with Local Importance Sampling"

2 / 2 papers shown

Title
FFT-MoE: Efficient Federated Fine-Tuning for Foundation Models via Large-scale Sparse MoE under Heterogeneous Edge Gang Hu Yinglei Teng Pengfei Wu Nan Wang MoE 64 1 0 26 Aug 2025
A survey of Monte Carlo methods for noisy and costly densities with application to reinforcement learning and ABCInternational Statistical Review (ISR), 2021 F. Llorente Luca Martino Jesse Read D. Delgado OffRL 517 16 0 03 Jan 2025