TIFeD: a Tiny Integer-based Federated learning algorithm with Direct feedback alignment
Fuente:
arXiv
Saved in:
| Main Authors: | Colombo, Luca, Falcetta, Alessandro, Roveri, Manuel |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
What changes after deployment? A survey on On-device Learning in TinyML
by: Pavan, Massimo, et al.
Published: (2026)
by: Pavan, Massimo, et al.
Published: (2026)
NITRO-D: Native Integer-only Training of Deep Convolutional Neural Networks
by: Pirillo, Alberto, et al.
Published: (2024)
by: Pirillo, Alberto, et al.
Published: (2024)
BEP: A Binary Error Propagation Algorithm for Binary Neural Networks Training
by: Colombo, Luca, et al.
Published: (2025)
by: Colombo, Luca, et al.
Published: (2025)
Deep Memory Search: A Metaheuristic Approach for Optimizing Heuristic Search
by: Hedar, Abdel-Rahman, et al.
Published: (2024)
by: Hedar, Abdel-Rahman, et al.
Published: (2024)
TACO: Tackling Over-correction in Federated Learning with Tailored Adaptive Correction
by: Liu, Weijie, et al.
Published: (2025)
by: Liu, Weijie, et al.
Published: (2025)
Training Multi-Layer Binary Neural Networks With Local Binary Error Signals
by: Colombo, Luca, et al.
Published: (2024)
by: Colombo, Luca, et al.
Published: (2024)
DYNAMITE: Dynamic Interplay of Mini-Batch Size and Aggregation Frequency for Federated Learning with Static and Streaming Dataset
by: Liu, Weijie, et al.
Published: (2023)
by: Liu, Weijie, et al.
Published: (2023)
Scaling Laws in the Tiny Regime: How Small Models Change Their Mistakes
by: Alnemari, Mohammed, et al.
Published: (2026)
by: Alnemari, Mohammed, et al.
Published: (2026)
Axiomatic Characterisations of Sample-based Explainers
by: Amgoud, Leila, et al.
Published: (2024)
by: Amgoud, Leila, et al.
Published: (2024)
ReBoot: Encrypted Training of Deep Neural Networks with CKKS Bootstrapping
by: Pirillo, Alberto, et al.
Published: (2025)
by: Pirillo, Alberto, et al.
Published: (2025)
Manipulating 3D Molecules in a Fixed-Dimensional E(3)-Equivariant Latent Space
by: Chen, Zitao, et al.
Published: (2025)
by: Chen, Zitao, et al.
Published: (2025)
Safe Reinforcement Learning with Preference-based Constraint Inference
by: Li, Chenglin, et al.
Published: (2026)
by: Li, Chenglin, et al.
Published: (2026)
Score-informed Neural Operator for Enhancing Ordering-based Causal Discovery
by: Kang, Jiyeon, et al.
Published: (2025)
by: Kang, Jiyeon, et al.
Published: (2025)
Extending NGU to Multi-Agent RL: A Preliminary Study
by: Hernandez, Juan, et al.
Published: (2025)
by: Hernandez, Juan, et al.
Published: (2025)
Curveball Steering: The Right Direction To Steer Isn't Always Linear
by: Raval, Shivam, et al.
Published: (2026)
by: Raval, Shivam, et al.
Published: (2026)
4OPS: Structural Difficulty Modeling in Integer Arithmetic Puzzles
by: Zeytuncu, Yunus E.
Published: (2026)
by: Zeytuncu, Yunus E.
Published: (2026)
Entropy-Based Measurement of Value Drift and Alignment Work in Large Language Models
by: Fadli, Samih
Published: (2025)
by: Fadli, Samih
Published: (2025)
Fusion-Based Neural Generalization for Predicting Temperature Fields in Industrial PET Preform Heating
by: Alsheikh, Ahmad, et al.
Published: (2025)
by: Alsheikh, Ahmad, et al.
Published: (2025)
Multi-Agent Pathfinding with Non-Unit Integer Edge Costs via Enhanced Conflict-Based Search and Graph Discretization
by: Fan, Hongkai, et al.
Published: (2026)
by: Fan, Hongkai, et al.
Published: (2026)
DELTA: Variational Disentangled Learning for Privacy-Preserving Data Reprogramming
by: Malarkkan, Arun Vignesh, et al.
Published: (2025)
by: Malarkkan, Arun Vignesh, et al.
Published: (2025)
DataRater: Meta-Learned Dataset Curation
by: Calian, Dan A., et al.
Published: (2025)
by: Calian, Dan A., et al.
Published: (2025)
Extrinsicaly Rewarded Soft Q Imitation Learning with Discriminator
by: Furuyama, Ryoma, et al.
Published: (2024)
by: Furuyama, Ryoma, et al.
Published: (2024)
Manipulating Predictions over Discrete Inputs in Machine Teaching
by: Wu, Xiaodong, et al.
Published: (2024)
by: Wu, Xiaodong, et al.
Published: (2024)
ParalESN: Enabling parallel information processing in Reservoir Computing
by: Pinna, Matteo, et al.
Published: (2026)
by: Pinna, Matteo, et al.
Published: (2026)
The Lattice Geometry of Neural Network Quantization -- A Short Equivalence Proof of GPTQ and Babai's Algorithm
by: Birnick, Johann
Published: (2025)
by: Birnick, Johann
Published: (2025)
Evaluation of post-hoc interpretability methods in time-series classification
by: Turbé, Hugues, et al.
Published: (2022)
by: Turbé, Hugues, et al.
Published: (2022)
Resilience to the Flowing Unknown: an Open Set Recognition Framework for Data Streams
by: Barcina-Blanco, Marcos, et al.
Published: (2024)
by: Barcina-Blanco, Marcos, et al.
Published: (2024)
Scaling Value Iteration Networks to 5000 Layers for Extreme Long-Term Planning
by: Wang, Yuhui, et al.
Published: (2024)
by: Wang, Yuhui, et al.
Published: (2024)
Understanding Goal Generalisation in Sequential Reinforcement Learning
by: Brown, Jason Ross, et al.
Published: (2026)
by: Brown, Jason Ross, et al.
Published: (2026)
Unlearning's Blind Spots: Over-Unlearning and Prototypical Relearning Attack
by: Ha, SeungBum, et al.
Published: (2025)
by: Ha, SeungBum, et al.
Published: (2025)
Residual Reservoir Memory Networks
by: Pinna, Matteo, et al.
Published: (2025)
by: Pinna, Matteo, et al.
Published: (2025)
Individual Fairness Through Reweighting and Tuning
by: Mahamadou, Abdoul Jalil Djiberou, et al.
Published: (2024)
by: Mahamadou, Abdoul Jalil Djiberou, et al.
Published: (2024)
Evaluating the effectiveness of predicting covariates in LSTM Networks for Time Series Forecasting
by: Davies, Gareth
Published: (2024)
by: Davies, Gareth
Published: (2024)
FreRA: A Frequency-Refined Augmentation for Contrastive Learning on Time Series Classification
by: Tian, Tian, et al.
Published: (2025)
by: Tian, Tian, et al.
Published: (2025)
Deep Residual Echo State Networks: exploring residual orthogonal connections in untrained Recurrent Neural Networks
by: Pinna, Matteo, et al.
Published: (2025)
by: Pinna, Matteo, et al.
Published: (2025)
Bounded Ratio Reinforcement Learning
by: Ao, Yunke, et al.
Published: (2026)
by: Ao, Yunke, et al.
Published: (2026)
Dynamics Reveals Structure: Challenging the Linear Propagation Assumption
by: Chang, Hoyeon, et al.
Published: (2026)
by: Chang, Hoyeon, et al.
Published: (2026)
1 bit is all we need: binary normalized neural networks
by: Cabral, Eduardo Lobo Lustoda, et al.
Published: (2025)
by: Cabral, Eduardo Lobo Lustoda, et al.
Published: (2025)
Multi-Task Reinforcement Learning with Language-Encoded Gated Policy Networks
by: Arora, Rushiv
Published: (2025)
by: Arora, Rushiv
Published: (2025)
Approximate Domain Unlearning for Vision-Language Models
by: Kawamura, Kodai, et al.
Published: (2025)
by: Kawamura, Kodai, et al.
Published: (2025)
Similar Items
-
What changes after deployment? A survey on On-device Learning in TinyML
by: Pavan, Massimo, et al.
Published: (2026) -
NITRO-D: Native Integer-only Training of Deep Convolutional Neural Networks
by: Pirillo, Alberto, et al.
Published: (2024) -
BEP: A Binary Error Propagation Algorithm for Binary Neural Networks Training
by: Colombo, Luca, et al.
Published: (2025) -
Deep Memory Search: A Metaheuristic Approach for Optimizing Heuristic Search
by: Hedar, Abdel-Rahman, et al.
Published: (2024) -
TACO: Tackling Over-correction in Federated Learning with Tailored Adaptive Correction
by: Liu, Weijie, et al.
Published: (2025)