arXiv Machine Learning
Beyond Uniform Compression: Budgeted Transmission Allocation for Extreme Federated Learning
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FedSAP: Federated Learning with Structured Adaptive Partitioning for Multi-Domain Heterogeneous Edge Devices
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FedLore: Communication and Memory Efficient Federated Learning via Shared Gradient Low-Rank Projection
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arXiv AI
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CoCo-Fed: A Unified Framework for Memory- and Communication-Efficient Federated Learning at the Wireless Edge
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arXiv Machine Learning
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HeteRo-Select: Informativeness as the Participation Driver in Heterogeneous Federated Learning
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arXiv AI
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FED-FSTQ: Fisher-Guided Token Quantization for Communication-Efficient Federated Fine-Tuning of LLMs on Edge Devices
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arXiv Machine Learning
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MUFFLe: Efficient Model Update Compression via Generalized Deduplication for Federated Learning
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