68 citations · 76 across the 14 of their papers we have counts for
3 papers · 1 filter
SplitFedZip: Learned Compression for Data Transfer Reduction in Split-Federated Learning
Chamani Shiranthika, Hadi Hadizadeh, Parvaneh Saeedi +1
Federated Learning (FL) enables multiple clients to train a collaborative model without sharing their local data. Split Learning (SL) allows a model to be trained in a split manner…
Reinforcement Learning for Unsupervised Video Summarization with Reward Generator Training
Mehryar Abbasi, Hadi Hadizadeh, Parvaneh Saeedi
This paper presents a novel approach for unsupervised video summarization using reinforcement learning (RL), addressing limitations like unstable adversarial training and reliance…
Optimizing Split Points for Error-Resilient SplitFed Learning
Chamani Shiranthika, Parvaneh Saeedi, Ivan V. Bajić
Recent advancements in decentralized learning, such as Federated Learning (FL), Split Learning (SL), and Split Federated Learning (SplitFed), have expanded the potentials of machin…