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07/05/2023
Privacy-Preserving Federated Heavy Hitter Analytics for Non-IID Data
Federated heavy-hitter analytics involves the identification of the most...
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07/02/2023
Don't Memorize; Mimic The Past: Federated Class Incremental Learning Without Episodic Memory
Deep learning models are prone to forgetting information learned in the ...
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06/08/2023
FedMLSecurity: A Benchmark for Attacks and Defenses in Federated Learning and LLMs
This paper introduces FedMLSecurity, a benchmark that simulates adversar...
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03/20/2023
FedML-HE: An Efficient Homomorphic-Encryption-Based Privacy-Preserving Federated Learning System
Federated Learning (FL) enables machine learning model training on distr...
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03/03/2023
FedML Parrot: A Scalable Federated Learning System via Heterogeneity-aware Scheduling on Sequential and Hierarchical Training
Federated Learning (FL) enables collaborations among clients for train m...
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02/27/2023
Proof-of-Contribution-Based Design for Collaborative Machine Learning on Blockchain
We consider a project (model) owner that would like to train a model by ...
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12/10/2022
SMILE: Scaling Mixture-of-Experts with Efficient Bi-level Routing
The mixture of Expert (MoE) parallelism is a recent advancement that sca...
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01/11/2022
Partial Model Averaging in Federated Learning: Performance Guarantees and Benefits
Local Stochastic Gradient Descent (SGD) with periodic model averaging (F...
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12/27/2021
SPIDER: Searching Personalized Neural Architecture for Federated Learning
Federated learning (FL) is an efficient learning framework that assists ...
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12/21/2021
AutoCTS: Automated Correlated Time Series Forecasting – Extended Version
Correlated time series (CTS) forecasting plays an essential role in many...
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11/22/2021
FedCV: A Federated Learning Framework for Diverse Computer Vision Tasks
Federated Learning (FL) is a distributed learning paradigm that can lear...
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10/19/2021
Layer-wise Adaptive Model Aggregation for Scalable Federated Learning
In Federated Learning, a common approach for aggregating local models ac...
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10/06/2021
SSFL: Tackling Label Deficiency in Federated Learning via Personalized Self-Supervision
Federated Learning (FL) is transforming the ML training ecosystem from a...
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10/02/2021
FairFed: Enabling Group Fairness in Federated Learning
As machine learning becomes increasingly incorporated in crucial decisio...
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09/29/2021
LightSecAgg: Rethinking Secure Aggregation in Federated Learning
Secure model aggregation is a key component of federated learning (FL) t...
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06/15/2021
Federated Learning for Internet of Things: A Federated Learning Framework for On-device Anomaly Data Detection
Federated learning can be a promising solution for enabling IoT cybersec...
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06/04/2021
SpreadGNN: Serverless Multi-task Federated Learning for Graph Neural Networks
Graph Neural Networks (GNNs) are the first choice methods for graph mach...
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05/09/2021
Lightweight Image Super-Resolution with Hierarchical and Differentiable Neural Architecture Search
Single Image Super-Resolution (SISR) tasks have achieved significant per...
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04/14/2021
FedGraphNN: A Federated Learning System and Benchmark for Graph Neural Networks
Graph Neural Network (GNN) research is rapidly growing thanks to the cap...
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02/05/2021
PipeTransformer: Automated Elastic Pipelining for Distributed Training of Transformers
The size of Transformer models is growing at an unprecedented pace. It h...
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07/28/2020
Group Knowledge Transfer: Collaborative Training of Large CNNs on the Edge
Scaling up the convolutional neural network (CNN) size (e.g., width, dep...
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04/18/2020
FedNAS: Federated Deep Learning via Neural Architecture Search
Federated Learning (FL) has been proved to be an effective learning fram...
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12/10/2019
Advances and Open Problems in Federated Learning
Federated learning (FL) is a machine learning setting where many clients...
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10/11/2019
Central Server Free Federated Learning over Single-sided Trust Social Networks
Federated learning has become increasingly important for modern machine ...
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06/27/2019
Efficient Spatial Anti-Aliasing Rendering for Line Joins on Vector Maps
The spatial anti-aliasing technique for line joins (intersections of the...
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06/27/2019